Biology & Life Sciences

274 cases, highest importance first. Mean importance 5.6. Combined citations 75,759.

Industries protein science 37 drug discovery 21 genomics 14 gene editing 10 genome editing 8 protein design 7 wildlife conservation 7 bioinformatics 6 protein engineering 5 structural biology 5 synthetic biology 5 bioimaging microscopy 5

#	Paper	Year	Citations	Importance
1	Structure Prediction and Computational Protein Design for Efficient Biocatalysts and Bioactive Proteins Rebecca Buller, Jiřı́ Damborský, Donald Hilvert, Uwe T. Bornscheuer	2024	40	9
2	Evolutionary-scale prediction of atomic-level protein structure with a language model Zeming Lin, Halil Akin, Roshan Rao, Brian Hie, Zhongkai Zhu, Wenting L...	2023	5,455	9
3	De novo design of protein structure and function with RFdiffusion Joseph L. Watson, David Juergens, Nathaniel R. Bennett, Brian L. Tripp...	2023	2,294	9
4	AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high-accuracy models Mihály Váradi, Stephen Anyango, Mandar Deshpande, Sreenath Sasidharan...	2021	7,782	9
5	Accurate prediction of protein structures and interactions using a three-track neural network Minkyung Baek, Frank DiMaio, Ivan V. Anishchenko, Justas Dauparas, Ser...	2021	5,468	9
6	A generalized platform for artificial intelligence-powered autonomous enzyme engineering Nilmani Singh, Stephan Lane, Tianhao Yu, Jingxia Lu, Adrianna Ramos, H...	2025	111	8
7	Deep-learning-based single-domain and multidomain protein structure prediction with D-I-TASSER Wei Hui Zheng, Qiqige Wuyun, Yang Li, Quancheng Liu, Xiaogen Zhou, Chu...	2025	99	8
8	Accurate structure prediction of biomolecular interactions with AlphaFold 3 Josh Abramson, Jonas Adler, Jack Dunger, Richard Evans, Tim Green, Ale...	2024	15,361	8
9	De novo protein design—From new structures to programmable functions Tanja Kortemme	2024	344	8
10	AI-Driven Deep Learning Techniques in Protein Structure Prediction Lingtao Chen, Qiaomu Li, Kazi Fahim Ahmad Nasif, Ying Xie, Bobin Deng,...	2024	136	8
11	Protein Design Using Structure-Prediction Networks: AlphaFold and RoseTTAFold as Protein Structure Foundation Models Jue Wang, Joseph L. Watson, Sidney Lyayuga Lisanza	2024	34	8
12	Illuminating protein space with a programmable generative model John Ingraham, Max Baranov, Zak Costello, Karl W. Barber, Wujie Wang,...	2023	432	8
13	Deep learning for protein complex structure prediction Patrick Bryant	2023	52	8
14	Robust deep learning–based protein sequence design using ProteinMPNN Justas Dauparas, Ivan V. Anishchenko, Nathaniel R. Bennett, Hua Bai, R...	2022	2,049	8
15	Applications of machine learning in computer-aided drug discovery SM Bargeen Alam Turzo, Eric R. Hantz, Steffen Lindert	2022	27	8
16	Deep Machine Learning for Computer-Aided Drug Design Jürgen Bajorath	2022	27	8
17	Protein structure prediction using deep learning distance and hydrogen‐bonding restraints in CASP14 Wei Hui Zheng, Yang Li, Chengxin Zhang, Xiaogen Zhou, Robin Pearce, Er...	2021	61	8
18	Deep Learning for SARS COV-2 Genome Sequences Albert Whata, Charles Chimedza	2021	56	8
19	Genome-Scale Metabolic Models and Machine Learning Reveal Genetic Determinants of Antibiotic Resistance in Escherichia coli and Unravel the Underlying Metabolic Adaptation Mechanisms Nicole Pearcy, Yue O. O. Hu, Michelle Baker, Alexandre Maciel-Guerra,...	2021	54	8
20	Protein tertiary structure prediction and refinement using deep learning and Rosetta in CASP14 Ivan V. Anishchenko, Minkyung Baek, Hahnbeom Park, Naozumi Hiranuma, D...	2021	50	8
21	Recent Applications of Deep Learning Methods on Evolution- and Contact-Based Protein Structure Prediction Donghyuk Suh, Jai Woo Lee, Sun Choi, Yoonji Lee	2021	25	8
22	Protein tertiary structure modeling driven by deep learning and contact distance prediction in CASP13 Jie Hou, Tianqi Wu, Renzhi Cao, Jianlin Jack Cheng	2019	162	8
23	Analysis of distance‐based protein structure prediction by deep learning in CASP13 Jinbo Xu, Sheng Wang	2019	132	8
24	Atomic context-conditioned protein sequence design using LigandMPNN Justas Dauparas, Gyu Rie Lee, Robert J. Pecoraro, Linna An, Ivan V. An...	2025	278	7
25	Accurate de novo design of high-affinity protein-binding macrocycles using deep learning Stephen Rettie, David Juergens, Victor Adebomi, Yensi Flores Bueso, Qi...	2025	75	7
26	Target sequence-conditioned design of peptide binders using masked language modeling Tianlai Chen, Zachary Quinn, Madeleine Dumas, Christina Yi Peng, Laure...	2025	59	7
27	RNA-protein interaction prediction using network-guided deep learning Haoquan Liu, Yiren Jian, Chen Zeng, Yunjie Zhao	2025	32	7
28	Crowdsourced Protein Design: Lessons From the Adaptyv EGFR Binder Competition Tudor‐Stefan Cotet, Igor Krawczuk, Filippo Stocco, Noelia Ferruz, Anth...	2025	26	7
29	Improving deep learning protein monomer and complex structure prediction using DeepMSA2 with huge metagenomics data Wei Hui Zheng, Qiqige Wuyun, Yang Li, Chengxin Zhang, Lydia Freddolino...	2024	130	7
30	Biosensor and machine learning-aided engineering of an amaryllidaceae enzyme Simon d’Oelsnitz, Daniel J. Diaz, Wantae Kim, Daniel J. Acosta, Tyler...	2024	56	7
31	Structure-based, deep-learning models for protein-ligand binding affinity prediction Debby D. Wang, Wenhui Wu, Ran Wang	2024	49	7
32	RoboEM: automated 3D flight tracing for synaptic-resolution connectomics Martin Schmidt, Alessandro Motta, Meike Sievers, Moritz N. Helmstaedte...	2024	30	7
33	Deep learning approaches for non-coding genetic variant effect prediction: current progress and future prospects Xiaoyu Wang, Fuyi Li, Yiwen Zhang, Seiya Imoto, Hsin‐Hui Shen, Shansha...	2024	29	7
34	Accurate de novo design of high-affinity protein binding macrocycles using deep learning Stephen Rettie, David Juergens, Victor Adebomi, Yensi Flores Bueso, Qi...	2024	21	7
35	The Application of Machine Learning on Antibody Discovery and Optimization Jiayao Zheng, Yu Wang, Qianying Liang, Lun Cui, Liqun Wang	2024	32	7
36	Efficient evolution of human antibodies from general protein language models Brian Hie, Varun R. Shanker, Duo Xu, Theodora U. J. Bruun, Payton A. B...	2023	449	7
37	De novo design of luciferases using deep learning Andy Hsien-Wei Yeh, Christoffer Norn, Yakov Kipnis, Doug Tischer, Samu...	2023	441	7
38	Improving de novo protein binder design with deep learning Nathaniel R. Bennett, Brian Coventry, Inna Goreshnik, Buwei Huang, Aza...	2023	396	7
39	Rapid protein stability prediction using deep learning representations Lasse M. Blaabjerg, Maher M. Kassem, Lydia L. Good, Nicolas Jonsson, M...	2023	174	7
40	Integrating deep learning, threading alignments, and a multi‐MSA strategy for high‐quality protein monomer and complex structure prediction in CASP15 Wei Hui Zheng, Qiqige Wuyun, Lydia Freddolino, Yang Zhang	2023	58	7
41	Design of Cyclic Peptides Targeting Protein–Protein Interactions Using AlphaFold Takatsugu Kosugi, Masahito Ohue	2023	51	7
42	Multi-domain and complex protein structure prediction using inter-domain interactions from deep learning Yuhao Xia, Kailong Zhao, Dong Liu, Xiaogen Zhou, Guijun Zhang	2023	47	7
43	Design of prime-editing guide RNAs with deep transfer learning Feng Liu, Shuhong Huang, Jiongsong Hu, Xiaozhou Chen, Ziguo Song, Jung...	2023	36	7
44	Cross-protein transfer learning substantially improves disease variant prediction Milind Jagota, Chengzhong Ye, Carlos Albors, Ruchir Rastogi, Antoine K...	2023	67	7
45	High-throughput deep learning variant effect prediction with Sequence UNET Alistair S. Dunham, Pedro Beltrão, Mohammed AlQuraishi	2023	30	7
46	Improved prediction of protein-protein interactions using AlphaFold2 Patrick Bryant, Gabriele Pozzati, Arne Elofsson	2022	1,010	7
47	Deep learning-based kcat prediction enables improved enzyme-constrained model reconstruction Feiran Li, Le Yuan, Hongzhong Lu, Gang Li, Yu Chen, Martin K. M. Engqv...	2022	460	7
48	Structure-Aware Multimodal Deep Learning for Drug–Protein Interaction Prediction Penglei Wang, Shuangjia Zheng, Yize Jiang, Chengtao Li, Junhong Liu, C...	2022	75	7
49	Fast and accurate Ab Initio Protein structure prediction using deep learning potentials Robin Pearce, Yang Li, Gilbert S. Omenn, Yang Zhang	2022	44	7
50	Evaluating GPCR modeling and docking strategies in the era of deep learning-based protein structure prediction Sumin Lee, Seeun Kim, Gyu Rie Lee, Sohee Kwon, Hyeonuk Woo, Chaok Seok...	2022	42	7
51	De novo design of high-affinity protein binders to bioactive helical peptides Susana Vázquez Torres, Philip J. Y. Leung, Isaac D. Lutz, Preetham Ven...	2022	22	7
52	Data-driven enzyme engineering to identify function-enhancing enzymes Yaoyukun Jiang, Xinchun Ran, Zhongyue John Yang	2022	22	7
53	Computational Tools and Resources for CRISPR/Cas Genome Editing Chao Li, Wen Chu, Rafaqat A. Gill, Shifei Sang, Yuqin Shi, Xuezhi Hu,...	2022	129	7
54	Genomic Prediction of Wheat Grain Yield Using Machine Learning Manisha Sanjay Sirsat, Paula Rodrigues Oblessuc, Ricardo S. Ramiro	2022	35	7
55	Prediction of evolutionary constraint by genomic annotations improves functional prioritization of genomic variants in maize Guillaume P. Ramstein, Edward S. Buckler	2022	34	7
56	Deep learning and alignment of spatially resolved single-cell transcriptomes with Tangram Tommaso Biancalani, Gabriele Scalia, Lorenzo Buffoni, Raghav Avasthi,...	2021	915	7
57	gapseq: informed prediction of bacterial metabolic pathways and reconstruction of accurate metabolic models Johannes Zimmermann, Christoph Kaleta, Silvio Waschina	2021	311	7
58	InteractionGraphNet: A Novel and Efficient Deep Graph Representation Learning Framework for Accurate Protein–Ligand Interaction Predictions Dejun Jiang, Chang‐Yu Hsieh, Zhenxing Wu, Yu Kang, Jike Wang, Ercheng...	2021	261	7
59	Deep generative modeling for protein design Alexey V. Strokach, Philip M. Kim	2021	115	7
60	Easy-Prime: a machine learning–based prime editor design tool Yichao Li, Jingjing Chen, Shengdar Q. Tsai, Yong Cheng	2021	68	7
61	Improving protein tertiary structure prediction by deep learning and distance prediction in CASP14 Jian Liu, Tianqi Wu, Zhiye Guo, Jie Hou, Jianlin Jack Cheng	2021	31	7
62	Prioritizing non-coding regions based on human genomic constraint and sequence context with deep learning Dimitrios Vitsios, Ryan S. Dhindsa, Lawrence Middleton, Ayal B. Gussow...	2021	88	7
63	Deep learning suggests that gene expression is encoded in all parts of a co-evolving interacting gene regulatory structure Jan Zrimec, Christoph S Börlin, Filip Buric, Azam Sheikh Muhammad, Rho...	2020	172	7
64	Combining Docking Pose Rank and Structure with Deep Learning Improves Protein–Ligand Binding Mode Prediction over a Baseline Docking Approach Joseph A. Morrone, Jeffrey K. Weber, Tien Huynh, Heng Luo, Wendy D. Co...	2020	91	7
65	Leveraging Uncertainty in Machine Learning Accelerates Biological Discovery and Design Brian Hie, Bryan D. Bryson, Bonnie Berger	2020	153	7
66	Deep‐learning contact‐map guided protein structure prediction in CASP13 Wei Hui Zheng, Yang Li, Chengxin Zhang, Robin Pearce, S. M. Mortuza, Y...	2019	208	7
67	An overview and metanalysis of machine and deep learning-based CRISPR gRNA design tools Jun Wang, Xiuqing Zhang, Lixin Cheng, Yonglun Luo	2019	102	7
68	Novel antimicrobial peptide discovery using machine learning and biophysical selection of minimal bacteriocin domains Francisco R. Fields, Stefan D. Freed, Katelyn E. Carothers, Md-Nafiz H...	2019	62	7
69	Sequential regulatory activity prediction across chromosomes with convolutional neural networks David R. Kelley, Yakir Reshef, Maxwell L. Bileschi, David Belanger, Co...	2018	534	7
70	Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning Babak Alipanahi, Andrew Delong, Matthew T. Weirauch, Brendan J. Frey	2015	2,869	7
71	NEURD offers automated proofreading and feature extraction for connectomics Brendan Celii, Stelios Papadopoulos, Zhuokun Ding, Paul G. Fahey, Eric...	2025	40	6
72	Machine Learning-Driven Enzyme Mining: Opportunities, Challenges, and Future Perspectives Felix Moorhoff, Yanzi Zhang, Sizhe Qiu, Wenjuan Dong, David Medina-Ort...	2025	35	6
73	Bayesian deep-learning structured illumination microscopy enables reliable super-resolution imaging with uncertainty quantification Tao Liu, Jiahao Liu, Dong Li, Shan Tan	2025	30	6
74	Identification of nanomolar adenosine A2A receptor ligands using reinforcement learning and structure-based drug design Morgan C. Thomas, Pierre G. Matricon, Robert F. Gillespie, Maja Napiór...	2025	24	6
75	Deep learning enhanced light sheet fluorescence microscopy for in vivo 4D imaging of zebrafish heart beating Meng Zhang, Renjian Li, Songnian Fu, Sunil Kumar, James McGinty, Yuwen...	2025	22	6
76	Deep Learning in Image-Based Plant Phenotyping Katherine M. Murphy, Ella Ludwig, Jorge Gutierrez, Malia A. Gehan	2024	137	6
77	Inferring gene regulatory networks from single-cell multiome data using atlas-scale external data Qiuyue Yuan, Zhana Duren	2024	118	6
78	Deep learning the cis-regulatory code for gene expression in selected model plants Fritz Forbang Peleke, Simon Maria Zumkeller, Mehmet Gültaş, Armin Otto...	2024	86	6
79	Accurate Prediction of Protein Structural Flexibility by Deep Learning Integrating Intricate Atomic Structures and Cryo-EM Density Information Xintao Song, Lei Bao, Chenjie Feng, Qiang Huang, Fa Zhang, Xin Gao, Re...	2024	87	6
80	Machine learning-guided co-optimization of fitness and diversity facilitates combinatorial library design in enzyme engineering Kerr Ding, Michael Chin, Yunlong Zhao, Wei Huang, Binh Khanh Mai, Huan...	2024	83	6
81	Deep learning enhancing guide RNA design for CRISPR/Cas12a‐based diagnostics Baicheng Huang, Ling Guo, Hang Yin, Yue Wu, Zihan Zeng, Sujie Xu, Yufe...	2024	63	6
82	Diffusion-based deep learning method for augmenting ultrastructural imaging and volume electron microscopy Chixiang Lu, Kai Chen, Heng Qiu, Xiaojun Chen, Gu Chen, Xiaojuan Qi, H...	2024	48	6
83	Machine Learning-Guided Optimization of p -Coumaric Acid Production in Yeast Sara Moreno Paz, Rianne van der Hoek, Elif Eliana, Priscilla Zwartjens...	2024	40	6
84	Deep model predictive control of gene expression in thousands of single cells Jean‐Baptiste Lugagne, Caroline M. Blassick, Mary J. Dunlop	2024	38	6
85	De novo design of buttressed loops for sculpting protein functions Hanlun Jiang, Kevin M. Jude, Kejia Wu, Jorge A. Fallas, George Ueda, T...	2024	24	6
86	Learning to quantify uncertainty in off-target activity for CRISPR guide RNAs Furkan Özden, Péter Mináry	2024	21	6
87	Protein structure prediction with in-cell photo-crosslinking mass spectrometry and deep learning Kolja Stahl, Andrea Graziadei, Therese Dau, Oliver Brock, Juri Rappsil...	2023	161	6
88	Instance segmentation of mitochondria in electron microscopy images with a generalist deep learning model trained on a diverse dataset Ryan Conrad, Kedar Narayan	2023	113	6
89	Modeling CRISPR-Cas13d on-target and off-target effects using machine learning approaches Xiaolong Cheng, Zexu Li, Ruocheng Shan, Zihan Li, Shengnan Wang, Wench...	2023	70	6
90	Deep self-learning enables fast, high-fidelity isotropic resolution restoration for volumetric fluorescence microscopy Kefu Ning, Bolin Lu, Xiaojun Wang, Xiaoyu Zhang, Shuo Nie, Tao Jiang,...	2023	48	6
91	Deep Learning-Based Modeling of Drug–Target Interaction Prediction Incorporating Binding Site Information of Proteins Sofia D’Souza, K. V. Prema, S. Balaji, Ronak Shah	2023	36	6
92	Data-driven strategies for the computational design of enzyme thermal stability: trends, perspectives, and prospects Zhixin Dou, Yuqing Sun, Xukai Jiang, Xiuyun Wu, Yingjie Li, Bin Gong,...	2023	28	6
93	Prediction of base editor off-targets by deep learning Chengdong Zhang, Yuan Yang, Tao Qi, Yuening Zhang, Linghui Hou, Jingji...	2023	39	6
94	CRISPR–Cas9 gRNA efficiency prediction: an overview of predictive tools and the role of deep learning Vasileios Konstantakos, Anastasios Nentidis, Anastasia Krithara, Γεώργ...	2022	241	6
95	Ig-VAE: Generative modeling of protein structure by direct 3D coordinate generation Raphael R. Eguchi, Christian A. Choe, Po‐Ssu Huang	2022	141	6
96	LM-GVP: an extensible sequence and structure informed deep learning framework for protein property prediction Zichen Wang, Steven A. Combs, Ryan M. Brand, Miguel Romero Calvo, Panp...	2022	85	6
97	SDNN-PPI: self-attention with deep neural network effect on protein-protein interaction prediction Xue Li, Peifu Han, Gan Wang, Wenqi Chen, Shuang Wang, Tao Song	2022	83	6
98	Deep learning enables reference-free isotropic super-resolution for volumetric fluorescence microscopy Hyoungjun Park, Myeongsu Na, Bumju Kim, Soohyun Park, Ki Hean Kim, Sun...	2022	71	6
99	Deep learning for protein secondary structure prediction: Pre and post-AlphaFold Dewi Pramudi Ismi, Reza Pulungan, Afiahayati	2022	50	6
100	Learning deep representations of enzyme thermal adaptation Gang Li, Filip Buric, Jan Zrimec, Sandra Viknander, JENS KVIST NIELSEN...	2022	42	6
101	HyperAttentionDTI: improving drug–protein interaction prediction by sequence-based deep learning with attention mechanism Qichang Zhao, Haochen Zhao, Kai Zheng, Jianxin Wang	2021	274	6
102	Robust ecological analysis of camera trap data labelled by a machine learning model Robin C. Whytock, Jędrzej Świeżewski, Joeri A. Zwerts, Tadeusz Bara‐Sł...	2021	89	6
103	DockStream: a docking wrapper to enhance de novo molecular design Jeff Guo, Jon Paul Janet, Matthias R. Bauer, Eva Nittinger, Kathryn A....	2021	76	6
104	Enhancing CRISPR-Cas9 gRNA efficiency prediction by data integration and deep learning Xi Xiang, Giulia Ilaria Corsi, Christian Anthon, Kunli Qu, Xiaoguang P...	2021	206	6
105	Deep learning-based enhancement of epigenomics data with AtacWorks Avantika Lal, Zachary Chiang, Nikolai Yakovenko, Fabiana M. Duarte, Jo...	2021	66	6
106	A deep learning approach to automate whole‐genome prediction of diverse epigenomic modifications in plants Yifan Wang, Pingxian Zhang, Weijun Guo, Hanqing Liu, Xiulan Li, Qian Z...	2021	59	6
107	An effective self-supervised framework for learning expressive molecular global representations to drug discovery Pengyong Li, Jun Wang, Yixuan Qiao, Hao Chen, Yihuan Yu, Xiaojun Yao,...	2021	151	6
108	EDLMFC: an ensemble deep learning framework with multi-scale features combination for ncRNA–protein interaction prediction Jingjing Wang, Yanpeng Zhao, Weikang Gong, Yang Liu, Mei Wang, Xiaoqia...	2021	42	6
109	C-SVR Crispr: Prediction of CRISPR/Cas12 guideRNA activity using deep learning models Zubaida Said Ameen, Mehmet Özsöz, Auwalu Saleh Mubarak, Fadi M. Al-Tur...	2021	26	6
110	Application of machine learning and genetic optimization algorithms for modeling and optimizing soybean yield using its component traits Mohsen Yoosefzadeh-Najafabadi, Dan Tulpan, Milad Eskandari	2021	59	6
111	Deep learning enables structured illumination microscopy with low light levels and enhanced speed Luhong Jin, Bei Liu, Fenqiang Zhao, Stephen Hahn, Bowei Dong, Ruiyan S...	2020	253	6
112	Cross-species regulatory sequence activity prediction David R. Kelley	2020	228	6
113	DeepWAS: Multivariate genotype-phenotype associations by directly integrating regulatory information using deep learning Janine Arloth, Gökçen Eraslan, Till F. M. Andlauer, Jade Martins, Stel...	2020	74	6
114	A Novel Hybrid CNN-SVR for CRISPR/Cas9 Guide RNA Activity Prediction Guishan Zhang, Zhiming Dai, Xianhua Dai	2020	49	6
115	DNSS2 : Improved ab initio protein secondary structure prediction using advanced deep learning architectures Zhiye Guo, Jie Hou, Jianlin Jack Cheng	2020	42	6
116	Expansion of RiPP biosynthetic space through integration of pan-genomics and machine learning uncovers a novel class of lanthipeptides Alexander Kloosterman, Peter Cimermančič, Somayah S. Elsayed, Chao Du,...	2020	127	6
117	Deep learning-enabled efficient image restoration for 3D microscopy of turbid biological specimens Le Xiao, Chunyu Fang, Lanxin Zhu, Yarong Wang, Tingting Yu, Yuxuan Zha...	2020	32	6
118	Identifying Regulatory Elements via Deep Learning Mira Barshai, Eitamar Tripto, Yaron Orenstein	2020	23	6
119	Deep learning for inferring transcription factor binding sites Peter K. Koo, Matt Ploenzke	2020	70	6
120	Brain age prediction using deep learning uncovers associated sequence variants Benedikt A. Jónsson, Gyða Björnsdóttir, Thorgeir Elís Thorgeirsson, Lo...	2019	393	6
121	Optimized CRISPR guide RNA design for two high-fidelity Cas9 variants by deep learning Daqi Wang, Chengdong Zhang, Bei Wang, Bin Li, Qiang Wang, Dong Liu, Ho...	2019	330	6
122	SpCas9 activity prediction by DeepSpCas9, a deep learning–based model with high generalization performance Hui Kwon Kim, Younggwang Kim, Sungtae Lee, Seonwoo Min, Jung Yoon Bae,...	2019	237	6
123	MMSplice: modular modeling improves the predictions of genetic variant effects on splicing Jun Cheng, Thi Yen Duong Nguyen, Kamil J. Cygan, Muhammed Hasan Çelik,...	2019	234	6
124	Unlocking HDR-mediated nucleotide editing by identifying high-efficiency target sites using machine learning Aidan R. O’Brien, Laurence O. W. Wilson, Gaétan Burgio, Denis C. Bauer	2019	48	6
125	Comparing two deep learning sequence-based models for protein-protein interaction prediction Florian Richoux, Charlène Servantie, Cynthia Borès, Stéphane Télétchéa	2019	22	6
126	DeepPVP: phenotype-based prioritization of causative variants using deep learning Imane Boudellioua, Maxat Kulmanov, Paul N. Schofield, Georgios V. Gkou...	2019	78	6
127	Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning Mohammad Sadegh Norouzzadeh, Anh Nguyen, Margaret Kosmala, Alexandra S...	2018	1,211	6
128	DeepCRISPR: optimized CRISPR guide RNA design by deep learning Guohui Chuai, Hanhui Ma, Jifang Yan, Ming Chen, Nanfang Hong, Dongyu X...	2018	634	6
129	Machine learning to classify animal species in camera trap images: Applications in ecology Michael A. Tabak, Mohammad Sadegh Norouzzadeh, David W. Wolfson, Steve...	2018	500	6
130	Predicting protein–protein interactions through sequence-based deep learning Somaye Sadat Hashemifar, Behnam Neyshabur, Aly Azeem Khan, Jinbo Xu	2018	366	6
131	A machine learning approach to predict metabolic pathway dynamics from time-series multiomics data Zak Costello, Héctor García Martín	2018	242	6
132	Large Scale Image Segmentation with Structured Loss Based Deep Learning for Connectome Reconstruction Jan Funke, Fabian Tschopp, William Grisaitis, Arlo Sheridan, Chandan S...	2018	220	6
133	Machine learning applied to enzyme turnover numbers reveals protein structural correlates and improves metabolic models David Heckmann, Colton J. Lloyd, Nathan Mih, Yuanchi Ha, Daniel Craig...	2018	217	6
134	Off-target predictions in CRISPR-Cas9 gene editing using deep learning Jiecong Lin, Ka‐Chun Wong	2018	185	6
135	DeepPPI: Boosting Prediction of Protein–Protein Interactions with Deep Neural Networks Xiuquan Du, Shiwei Sun, Chang-Lin Hu, Yu Yao, Yuanting Yan, Yanping Zh...	2017	285	6
136	A machine learning approach for predicting CRISPR-Cas9 cleavage efficiencies and patterns underlying its mechanism of action Shiran Abadi, Winston X. Yan, David Amar, Itay Mayrose	2017	197	6
137	Basset: learning the regulatory code of the accessible genome with deep convolutional neural networks David R. Kelley, Jasper Snoek, John L. Rinn	2016	1,047	6
138	Deep Learning in Label-free Cell Classification Claire Lifan Chen, Ata Mahjoubfar, Li‐Chia Tai, Ian K. Blaby, Allen Hu...	2016	443	6
139	Deep Contextual Networks for Neuronal Structure Segmentation Hao Chen, Xiao Qi, Jie Cheng, Pheng‐Ann Heng	2016	146	6
140	Crowdsourcing the creation of image segmentation algorithms for connectomics Ignacio Arganda‐Carreras, Srinivas C. Turaga, Daniel Raimund Berger, D...	2015	341	6
141	A Deep Learning Network Approach to ab initio Protein Secondary Structure Prediction Matt Spencer, Jesse Eickholt, Jianlin Jack Cheng	2014	297	6
142	Deep learning–based approaches for weed detection in crops Zhao Hua, Yan Wang	2026	11	5
143	Accelerated enzyme engineering by machine-learning guided cell-free expression Grant M. Landwehr, Jonathan W. Bogart, Carol Magalhaes, Eric Hammarlun...	2025	134	5
144	Tailoring industrial enzymes for thermostability and activity evolution by the machine learning-based iCASE strategy Nan Zheng, Yongchao Cai, Zehua Zhang, Huimin Zhou, Yu Deng, Shuang Du,...	2025	75	5
145	Deep learning-based aberration compensation improves contrast and resolution in fluorescence microscopy Min Yi Guo, Yicong Wu, Chad Michael Hobson, Yijun P. Su, Shuhao Qian,...	2025	54	5
146	Spatial gene expression at single-cell resolution from histology using deep learning with GHIST Xiaohang Fu, Yue Cao, Beilei Bian, Chuhan Wang, J. Dinny Graham, Nirma...	2025	40	5
147	DeepEnzyme: a robust deep learning model for improved enzyme turnover number prediction by utilizing features of protein 3D-structures Tong Wang, Guangming Xiang, Siwei He, Liyun Su, Yuguang Wang, Xuefeng...	2024	56	5
148	Machine Learning to Predict Enzyme–Substrate Interactions in Elucidation of Synthesis Pathways: A Review Luis Fernando Salas Nuñez, Álvaro Barrera-Ocampo, Paola A. Caicedo, Na...	2024	45	5
149	A new paradigm for applying deep learning to protein–ligand interaction prediction Zechen Wang, Sheng Wang, Yangyang Li, Jingjing Guo, Yanjie Wei, Yuguan...	2024	40	5
150	HydraProt: A New Deep Learning Tool for Fast and Accurate Prediction of Water Molecule Positions for Protein Structures Andreas Zamanos, George Ioannakis, Ioannis Z. Emiris	2024	28	5
151	Using deep learning to quantify neuronal activation from single-cell and spatial transcriptomic data Ethan Bahl, Snehajyoti Chatterjee, Utsav Mukherjee, Muhammad Elsadany,...	2024	28	5
152	Deep learning in fluorescence imaging and analysis Jian Mao, Hua He	2024	24	5
153	Antibody design using deep learning: from sequence and structure design to affinity maturation Sara Joubbi, Alessio Micheli, Paolo Milazzo, Giuseppe Maccari, Giorgio...	2024	50	5
154	Testing the reliability of an AI-based large language model to extract ecological information from the scientific literature Andrew V. Gougherty, Hannah L. Clipp	2024	52	5
155	Single-frame deep-learning super-resolution microscopy for intracellular dynamics imaging Rong Chen, Xiao Tang, Yuxuan Zhao, Zeyu Shen, Meng Zhang, Yusheng Shen...	2023	117	5
156	Enhancing image resolution of confocal fluorescence microscopy with deep learning Boyi Huang, Jia Li, Bowen Yao, Zhigang Yang, Edmund Y. M. Lam, Jia Zha...	2023	69	5
157	Inferring single-cell transcriptomic dynamics with structured latent gene expression dynamics Spencer Farrell, Madhav Mani, Sidhartha Goyal	2023	42	5
158	A Novel Machine-Learning Approach to Predict Stress-Responsive Genes in Arabidopsis Leyla Nazari, Vida Ghotbi, Mohammad Nadimi, Jitendra Paliwal	2023	11	5
159	DeepBacs for multi-task bacterial image analysis using open-source deep learning approaches Christoph K. Spahn, Estibaliz Gómez‐de‐Mariscal, Romain F. Laine, Pedr...	2022	119	5
160	DeLTA 2.0: A deep learning pipeline for quantifying single-cell spatial and temporal dynamics Owen M. O’Connor, Razan N. Alnahhas, Jean‐Baptiste Lugagne, Mary J. Du...	2022	103	5
161	Human vs. machine: Detecting wildlife in camera trap images Scott Leorna, Todd J. Brinkman	2022	64	5
162	Therapeutic enzyme engineering using a generative neural network Andrew J. Giessel, Athanasios D. Dousis, Kanchana R. Ravichandran, Kev...	2022	40	5
163	Can CNN‐based species classification generalise across variation in habitat within a camera trap survey? Danielle L. Norman, Philipp H. Bischoff, Oliver R. Wearn, Robert M. Ew...	2022	31	5
164	dynDeepDRIM: a dynamic deep learning model to infer direct regulatory interactions using time-course single-cell gene expression data Yu Gong Xu, Jiaxing Chen, Aiping Lyu, William K. Cheung, Lu Zhang	2022	23	5
165	A novel deep learning-based 3D cell segmentation framework for future image-based disease detection Andong Wang, Qi Zhang, Yang Han, Sean G. Megason, Sahand Hormoz, Kisho...	2022	68	5
166	Microbiome meta-analysis and cross-disease comparison enabled by the SIAMCAT machine learning toolbox Jakob Wirbel, Konrad Zych, Morgan Essex, Nicolai Karcher, Ece Kartal,...	2021	265	5
167	A deep-learning framework for multi-level peptide–protein interaction prediction Yipin Lei, Shuya Li, Ziyi Liu, Fang Wan, Tingzhong Tian, Shao Li, Dan...	2021	222	5
168	Unsupervised content-preserving transformation for optical microscopy Xinyang Li, Guoxun Zhang, Hui Qiao, Feng Bao, Yue Cheng Deng, Jiamin W...	2021	130	5
169	Machine learning-guided acyl-ACP reductase engineering for improved in vivo fatty alcohol production Jonathan C. Greenhalgh, Sarah A. Fahlberg, Brian F. Pfleger, Philip A....	2021	96	5
170	Deep learning of gene relationships from single cell time-course expression data Ye Yuan, Ziv Bar‐Joseph	2021	38	5
171	DEEPsc: A Deep Learning-Based Map Connecting Single-Cell Transcriptomics and Spatial Imaging Data Floyd Maseda, Zixuan Cang, Qing Hua Nie	2021	32	5
172	Fluorescence microscopy datasets for training deep neural networks Guy M. Hagen, Justin Bendesky, Rosa Machado, Tram-Anh Nguyen, Tanmay K...	2021	32	5
173	DeepComplex: A Web Server of Predicting Protein Complex Structures by Deep Learning Inter-chain Contact Prediction and Distance-Based Modelling Farhan Quadir, Raj S. Roy, Elham Soltanikazemi, Jianlin Jack Cheng	2021	21	5
174	TransformerCPI: improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments Lifan Chen, Xiaoqin Tan, Dingyan Wang, Feisheng Zhong, Xiaohong Liu, T...	2020	597	5
175	A machine learning Automated Recommendation Tool for synthetic biology Tijana Radivojević, Zak Costello, Kenneth Workman, Hector Garcia Marti...	2020	277	5
176	Solo: Doublet Identification in Single-Cell RNA-Seq via Semi-Supervised Deep Learning Nicholas Bernstein, Nicole L. Fong, Irene Lam, Margaret A. Roy, David...	2020	275	5
177	Combining mechanistic and machine learning models for predictive engineering and optimization of tryptophan metabolism Jie Zhang, Søren D. Petersen, Tijana Radivojević, Andrés Ramirez, Andr...	2020	282	5
178	Deep learning–based cell composition analysis from tissue expression profiles Kevin Menden, Matteo Marouf, Sergio Oller, Anupriya Dalmia, Daniel Sum...	2020	262	5
179	DeLTA: Automated cell segmentation, tracking, and lineage reconstruction using deep learning Jean‐Baptiste Lugagne, Haonan Lin, Mary J. Dunlop	2020	242	5
180	Generalizable sgRNA design for improved CRISPR/Cas9 editing efficiency Kasidet Hiranniramol, Yuhao Chen, Weijun Liu, Xiaowei Wang	2020	89	5
181	Imputation of single‐cell gene expression with an autoencoder neural network Md. Bahadur Badsha, Rui Li, Liu Boxiang, Yang I. Li, Min Xian, Nichola...	2020	56	5
182	mAML: an automated machine learning pipeline with a microbiome repository for human disease classification Fenglong Yang, Quan Zou	2020	38	5
183	DISC: a highly scalable and accurate inference of gene expression and structure for single-cell transcriptomes using semi-supervised deep learning Yao He, Hao Yuan, Cheng Feng Wu, Zhi Xie	2020	36	5
184	Microbiome meta-analysis and cross-disease comparison enabled by the SIAMCAT machine-learning toolbox Jakob Wirbel, Konrad Zych, Morgan Essex, Nicolai Karcher, Ece Kartal,...	2020	32	5
185	Forecasting severe grape downy mildew attacks using machine learning Mathilde Chen, François Brun, Marc Raynal, David Makowski	2020	68	5
186	Deep learning for inferring gene relationships from single-cell expression data Ye Yuan, Ziv Bar‐Joseph	2019	265	5
187	Cryo-CARE: Content-Aware Image Restoration for Cryo-Transmission Electron Microscopy Data Tim-Oliver Buchholz, Mareike A. Jordan, Gaia Pigino, Florian Jug	2019	184	5
188	Protein Function Prediction: From Traditional Classifier to Deep Learning Zhibin Lv, Chunyan Ao, Quan Zou	2019	132	5
189	Can Machine Learning Revolutionize Directed Evolution of Selective Enzymes? Guangyue Li, Yijie Dong, Manfred T. Reetz	2019	122	5
190	Wildlife surveillance using deep learning methods Ruilong Chen, Ruth A. Little, Lyudmila S. Mihaylova, Richard John Dela...	2019	90	5
191	Combined network analysis and machine learning allows the prediction of metabolic pathways from tomato metabolomics data David Toubiana, Rami Puzis, Lingling Wen, Noga Sikron, Assylay Kurmanb...	2019	87	5
192	MRCNN: a deep learning model for regression of genome-wide DNA methylation Qi Tian, Jianxiao Zou, Jianxiong Tang, Yuan Fang, Zhongli Yu, Shicai F...	2019	51	5
193	Digitaldlsorter: Deep-Learning on scRNA-Seq to Deconvolute Gene Expression Data Carlos Torroja, Fátima Sánchez‐Cabo	2019	51	5
194	CRISPRLearner: A Deep Learning-Based System to Predict CRISPR/Cas9 sgRNA On-Target Cleavage Efficiency Giovanni Dimauro, Pierpasquale Colagrande, Roberto Carlucci, Mario Ven...	2019	39	5
195	Learned protein embeddings for machine learning Kevin Yang, Zachary Wu, Claire N. Bedbrook, Frances H. Arnold	2018	313	5
196	Single‐sequence‐based prediction of protein secondary structures and solvent accessibility by deep whole‐sequence learning Rhys Heffernan, Kuldip K. Paliwal, James Lyons, Jaswinder Singh, Yuedo...	2018	118	5
197	Protein–Protein Interactions Prediction via Multimodal Deep Polynomial Network and Regularized Extreme Learning Machine Haijun Lei, Yuting Wen, Zhu‐Hong You, Ahmed Elazab, Ee-Leng Tan, Yujia...	2018	42	5
198	Sequence-based prediction of protein protein interaction using a deep-learning algorithm Tanlin Sun, Bo Zhou, Luhua Lai, Jianfeng Pei	2017	374	5
199	Deep learning of the regulatory grammar of yeast 5′ untranslated regions from 500,000 random sequences Josh T. Cuperus, Benjamin Groves, Anna Kuchina, Alexander B. Rosenberg...	2017	214	5
200	Imputation for transcription factor binding predictions based on deep learning Qian Qin, Jianxing Feng	2017	96	5
201	DeepInteract: Deep Neural Network Based Protein-Protein Interaction Prediction Tool Sunil Patel, Rashmi Tripathi, Vandana Kumari, Pritish Kumar Varadwaj	2017	50	5
202	Protein-Protein Interaction Interface Residue Pair Prediction Based on Deep Learning Architecture Zhenni Zhao, Xinqi Gong	2017	38	5
203	DeepChrome: deep-learning for predicting gene expression from histone modifications Ritambhara Singh, Jack Lanchantin, Gabriel Robins, Yanjun Qi	2016	305	5
204	PEDLA: predicting enhancers with a deep learning-based algorithmic framework Feng Liu, Hao Li, Chao Ren, Xiaochen Bo, Wenjie Shu	2016	102	5
205	Improving prediction of secondary structure, local backbone angles and solvent accessible surface area of proteins by iterative deep learning Rhys Heffernan, Kuldip K. Paliwal, James Lyons, Abdollah Dehzangi, Alo...	2015	351	5
206	Automated identification of animal species in camera trap images Xiaoyuan Yu, Jiangping Wang, Roland Kays, Patrick A. Jansen, Tianjiang...	2013	231	5
207	A novel strategy for classifying the output from an in silicovaccine discovery pipeline for eukaryotic pathogens using machine learning algorithms Stephen J. Goodswen, Paul J Kennedy, John Ellis	2013	46	5
208	Effects of data transformation and model selection on feature importance in microbiome classification data Zuzanna Karwowska, Oliver Aasmets, Mait Metspalu, Andres Metspalu, Lil...	2025	37	4
209	Generative machine learning produces kinetic models that accurately characterize intracellular metabolic states Subham Choudhury, Bharath Narayanan, Michaël Moret, Vassily Hatzimanik...	2024	64	4
210	Being confident in confidence scores: calibration in deep learning models for camera trap image sequences Gaspard Dussert, Simon Chamaillé‐Jammes, Stéphane Dray, Vincent Miele	2024	29	4
211	Ensemble deep learning model for protein secondary structure prediction using NLP metrics and explainable AI Uvarani Vignesh, R. Parvathi, K. Gokul Ram	2024	24	4
212	Cross-modality transformations in biological microscopy enabled by deep learning Dana Hassan, Jesús Domínguez, Benjamin Midtvedt, Henrik Klein Moberg,...	2024	23	4
213	Deep learning classification method for boar sperm morphology analysis Alexandra Keller, McKenna Maus, Emma Keller, Karl C. Kerns	2024	20	4
214	Advancing Enzyme’s Stability and Catalytic Efficiency through Synergy of Force-Field Calculations, Evolutionary Analysis, and Machine Learning Antonín Kunka, Sérgio M. Marques, Martin Havlásek, Michal Vasina, Niko...	2023	75	4
215	Simulated Design–Build–Test–Learn Cycles for Consistent Comparison of Machine Learning Methods in Metabolic Engineering Paul van Lent, Joep P. J. Schmitz, Thomas Abeel	2023	54	4
216	Deep learning enables fast, gentle STED microscopy Vahid Ebrahimi, Till Stephan, Jiah Kim, Pablo Carravilla, Christian Eg...	2023	44	4
217	GeneSegNet: a deep learning framework for cell segmentation by integrating gene expression and imaging Yuxing Wang, Wenguan Wang, Dongfang Liu, Wenpin Hou, Tianfei Zhou, Zhi...	2023	45	4
218	A deep learning-based stripe self-correction method for stitched microscopic images Shu Wang, Xixiang Liu, Yueying Li, Xinquan Sun, Qi Li, Yinhua She, Yix...	2023	36	4
219	Macrocyclization of linear molecules by deep learning to facilitate macrocyclic drug candidates discovery Yanyan Diao, Dandan Liu, Huan Ge, Rongrong Zhang, Kexin Jiang, R. BAO,...	2023	56	4
220	Deep Learning-Based Weed Detection Using UAV Images: A Comparative Study Tej Bahadur Shahi, Sweekar Dahal, Chiranjibi Sitaula, Arjun Neupane, W...	2023	65	4
221	Prediction of pasture yield using machine learning-based optical sensing: a systematic review Christoph Stumpe, Joerg Leukel, Tobias Zimpel	2023	29	4
222	Trends in forensic microbiology: From classical methods to deep learning Huiya Yuan, Ziwei Wang, Zhi Wang, Fuyuan Zhang, Dawei Guan, Rui Zhao	2023	45	4
223	Insights into Cottonseed Cultivar Identification Using Raman Spectroscopy and Explainable Machine Learning Jianan Chi, Xiangxin Bu, Xiao Li Zhang, Lijun Wang, Nannan Zhang	2023	20	4
224	Deep Learning-Based TEM Image Analysis for Fully Automated Detection of Gold Nanoparticles Internalized Within Tumor Cell Amrit Kaphle, Sandun Jayarathna, Hem Moktan, Maureen L. Aliru, Subhiks...	2023	16	4
225	An evaluation of platforms for processing camera‐trap data using artificial intelligence Juliana Vélez, William Joseph McShea, Hila Shamon, Paula J. Castiblanc...	2022	133	4
226	Generative and interpretable machine learning for aptamer design and analysis of in vitro sequence selection Andrea Di Gioacchino, Jonah Procyk, Marco Molari, John S. Schreck, Yu...	2022	41	4
227	DNAcycP: a deep learning tool for DNA cyclizability prediction Keren Li, Matthew S. Carroll, Reza Vafabakhsh, Xiaozhong A. Wang, Ji-P...	2022	40	4
228	Machine learning phenomics (MLP) combining deep learning with time-lapse-microscopy for monitoring colorectal adenocarcinoma cells gene expression and drug-response Michele D’Orazio, Michela Murdocca, Arianna Mencattini, Paola Casti, J...	2022	33	4
229	Deep learning based domain adaptation for mitochondria segmentation on EM volumes Daniel Franco-Barranco, Julio Pastor-Tronch, Aitor González-Marfil, Ar...	2022	24	4
230	Early yield prediction in different grapevine varieties using computer vision and machine learning Fernando Palacios, María P. Diago, Pedro Melo‐Pinto, Javier Tardáguila	2022	55	4
231	Machine-Learning-Guided Library Design Cycle for Directed Evolution of Enzymes: The Effects of Training Data Composition on Sequence Space Exploration Yutaka Saitō, Misaki Oikawa, Takumi Sato, Hikaru Nakazawa, Tomoyuki It...	2021	70	4
232	Deep-learning based denoising and reconstruction of super-resolution structured illumination microscopy images Zafran Hussain Shah, Marcel W. Muller, Tung-Cheng Wang, Philip Maurice...	2021	96	4
233	Imaging in focus: An introduction to denoising bioimages in the era of deep learning Romain F. Laine, Guillaume Jacquemet, Alexander Krull	2021	82	4
234	AptaNet as a deep learning approach for aptamer–protein interaction prediction Neda Emami, Reza Ferdousi	2021	65	4
235	Protein Secondary Structure Prediction With a Reductive Deep Learning Method Zhiliang Lyu, Zhijin Wang, Fangfang Luo, Jianwei Shuai, Yandong Huang	2021	39	4
236	A First Step Towards Automated Species Recognition from Camera Trap Images of Mammals Using AI in a European Temperate Forest Mateusz Choiński, Mateusz Rogowski, Piotr Tynecki, Dries P. J. Kuijper...	2021	33	4
237	Deep learning-based real-time detection of neurons in brain slices for in vitro physiology Mighten C. Yip, Mercedes M. Gonzalez, Christopher R. Valenta, Matthew...	2021	27	4
238	Enhancement of protein thermostability by three consecutive mutations using loop-walking method and machine learning Kazunori Yoshida, Shun Kawai, Masaya Fujitani, Satoshi Koikeda, Ryuji...	2021	26	4
239	Learning cis-regulatory principles of ADAR-based RNA editing from CRISPR-mediated mutagenesis Xin Liu, Tao Sun, Anna Shcherbina, Qin Li, Inga Jarmoskaite, Kalli Kap...	2021	25	4
240	Exploration of Machine Learning Approaches for Paddy Yield Prediction in Eastern Part of Tamilnadu S. Vinson Joshua, A. Selwin Mich Priyadharson, Raju Kannadasan	2021	57	4
241	Automatic improvement of deep learning-based cell segmentation in time-lapse microscopy by neural architecture search Yanming Zhu, Erik H. W. Meijering	2021	20	4
242	EM-stellar: benchmarking deep learning for electron microscopy image segmentation Afshin Khadangi, Thomas Boudier, Vijay Rajagopal	2021	27	4
243	A Framework for Effective Application of Machine Learning to Microbiome-Based Classification Problems Begüm D. Topçuoğlu, Nicholas A. Lesniak, Mack T. Ruffin, Jenna Wiens,...	2020	265	4
244	AutoGrow4: an open-source genetic algorithm for de novo drug design and lead optimization Jacob O. Spiegel, Jacob D. Durrant	2020	171	4
245	Innovations in Camera Trapping Technology and Approaches: The Integration of Citizen Science and Artificial Intelligence Siân E. Green, Jonathan P. Rees, Philip A. Stephens, Russell A. Hill,...	2020	110	4
246	Automated facial recognition for wildlife that lack unique markings: A deep learning approach for brown bears Melanie Clapham, Ed Miller, Mary Nguyen, Chris T. Darimont	2020	104	4
247	A Hybrid Flux Balance Analysis and Machine Learning Pipeline Elucidates Metabolic Adaptation in Cyanobacteria Supreeta Vijayakumar, Pattanathu K. S. M. Rahman, Claudio Angione	2020	68	4
248	neu Print: Analysis Tools for EM Connectomics Jody Clements, Tom Dolafi, Lowell A. Umayam, Nicole L. Neubarth, Stuar...	2020	66	4
249	Automated detection of European wild mammal species in camera trap images with an existing and pre-trained computer vision model Christin Carl, Fiona Schönfeld, Ingolf Profft, Alisa Klamm, Dirk Landg...	2020	55	4
250	Machine learning for faster and smarter fluorescence lifetime imaging microscopy Varun Mannam, Yide Zhang, Xiao–Tong Yuan, Cara R. Ravasio, Scott S. Ho...	2020	51	4
251	Learning and interpreting the gene regulatory grammar in a deep learning framework Ling Chen, John A. Capra	2020	23	4
252	Practical fluorescence reconstruction microscopy for large samples and low-magnification imaging Julienne LaChance, Daniel J. Cohen	2020	23	4
253	DeepConv-DTI: Prediction of drug-target interactions via deep learning with convolution on protein sequences Ingoo Lee, Jongsoo Keum, Hojung Nam	2019	674	4
254	Fast fit-free analysis of fluorescence lifetime imaging via deep learning Jason T. Smith, Ruoyang Yao, Nattawut Sinsuebphon, Alena Rudkouskaya,...	2019	171	4
255	Optimization of Molecules via Deep Reinforcement Learning Zhenpeng Zhou, Steven Kearnes, Li Li, Richard N. Zare, Patrick F. Rile...	2019	401	4
256	Comprehensive evaluation of deep learning architectures for prediction of DNA/RNA sequence binding specificities Ameni Trabelsi, Mohamed Amine Chaâbane, Asa Ben‐Hur	2019	153	4
257	Insights and approaches using deep learning to classify wildlife Zhongqi Miao, Kaitlyn M. Gaynor, Jiayun Wang, Ziwei Liu, Oliver Muelle...	2019	136	4
258	RPITER: A Hierarchical Deep Learning Framework for ncRNA–Protein Interaction Prediction Cheng Peng, Siyu Han, Hui Zhang, Ying Li	2019	96	4
259	Prediction of 8-state protein secondary structures by a novel deep learning architecture Buzhong Zhang, Jinyan Li, Qiang Lü	2018	140	4
260	A Deep Learning Framework for Robust and Accurate Prediction of ncRNA-Protein Interactions Using Evolutionary Information Hai-Cheng Yi, Zhu‐Hong You, De-Shuang Huang, Li Xiao, Tong-Hai Jiang,...	2018	134	4
261	Machine Learning of Designed Translational Control Allows Predictive Pathway Optimization in Escherichia coli Adrian J. Jervis, Pablo Carbonell, María Vinaixa, Mark S. Dunstan, Kat...	2018	118	4
262	q2-sample-classifier: machine-learning tools for microbiome classification and regression Nicholas A. Bokulich, Matthew R. Dillon, Evan K Bolyen, Benjamin D. Ka...	2018	32	4
263	A Machine Learning Approach for Using the Postmortem Skin Microbiome to Estimate the Postmortem Interval Hunter Johnson, Donovan Trinidad, Stephania Guzman, Zenab Khan, James...	2016	167	4
264	Machine learning approaches in microbiome research: challenges and best practices Γεώργιος Παπουτσόγλου, Sonia Tarazona, Marta Belchior Lopes, Thomas Kl...	2023	137	3
265	Physics-based generative model of curvature sensing peptides; distinguishing sensors from binders Niek van Hilten, Jeroen Methorst, Nino Verwei, Herre Jelger Risselada	2023	49	3
266	Crop Yield Prediction Using Hybrid Machine Learning Approach: A Case Study of Lentil (Lens culinaris Medik.) Pankaj Das, Girish Kumar Jha, Achal Lama, Rajender Parsad	2023	40	3
267	Identification of Milk Adulteration in Camel Milk Using FT-Mid-Infrared Spectroscopy and Machine Learning Models Zhiqiu Yao, Xinxin Zhang, Pei Nie, Haimiao Lv, Ying Yang, Wenna Zou, L...	2023	20	3
268	NIR Spectroscopy Oranges Origin Identification Framework Based on Machine Learning Songjian Dan	2022	15	3
269	Innovations in movement and behavioural ecology from camera traps: Day range as model parameter Pablo Palencia, Javier Fernández López, Joaquín Vicente, Pelayo Aceved...	2021	43	3
270	Microbiome Preprocessing Machine Learning Pipeline Yoel Y Jasner, Anna Belogolovski, Meirav Ben Izhak, Omry Koren, Yoram...	2021	31	3
271	A Deep Learning Approach for Weed Detection in Lettuce Crops Using Multispectral Images Kavir Osorio, Andrés Puerto, Cesar Augusto Pedraza, David Alejandro Ja...	2020	236	3
272	Test-time augmentation for deep learning-based cell segmentation on microscopy images Nikita Moshkov, Botond Mathe, Attila Kertész‐Farkas, Réka Hollandi, Pé...	2020	228	3
273	A large-scale optical microscopy image dataset of potato tuber for deep learning based plant cell assessment Sumona Biswas, Shovan Barma	2020	25	3
274	SNNRice6mA: A Deep Learning Method for Predicting DNA N6-Methyladenine Sites in Rice Genome Haitao Yu, Zhiming Dai	2019	94	3

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