Predicting effects of noncoding variants with deep learning–based sequence model J Zhou, OG Troyanskaya Nature methods 12 (10), 931-934, 2015 | 2416 | 2015 |
Deep learning sequence-based ab initio prediction of variant effects on expression and disease risk J Zhou, CL Theesfeld, K Yao, KM Chen, AK Wong, OG Troyanskaya Nature genetics 50 (8), 1171-1179, 2018 | 588 | 2018 |
New genetic signals for lung function highlight pathways and chronic obstructive pulmonary disease associations across multiple ancestries N Shrine, AL Guyatt, AM Erzurumluoglu, VE Jackson, BD Hobbs, ... Nature genetics 51 (3), 481-493, 2019 | 445 | 2019 |
A community computational challenge to predict the activity of pairs of compounds M Bansal, J Yang, C Karan, MP Menden, JC Costello, H Tang, G Xiao, ... Nature biotechnology 32 (12), 1213-1222, 2014 | 344 | 2014 |
Whole-genome deep-learning analysis identifies contribution of noncoding mutations to autism risk J Zhou, CY Park, CL Theesfeld, AK Wong, Y Yuan, C Scheckel, JJ Fak, ... Nature genetics 51 (6), 973-980, 2019 | 314 | 2019 |
Deep supervised and convolutional generative stochastic network for protein secondary structure prediction J Zhou, O Troyanskaya International conference on machine learning, 745-753, 2014 | 202 | 2014 |
A sequence-based global map of regulatory activity for deciphering human genetics KM Chen, AK Wong, OG Troyanskaya, J Zhou Nature genetics 54 (7), 940-949, 2022 | 165 | 2022 |
Selene: a PyTorch-based deep learning library for sequence data KM Chen, EM Cofer, J Zhou, OG Troyanskaya Nature methods 16 (4), 315-318, 2019 | 154* | 2019 |
Single-cell analysis of progenitor cell dynamics and lineage specification in the human fetal kidney R Menon, EA Otto, A Kokoruda, J Zhou, Z Zhang, E Yoon, YC Chen, ... Development 145 (16), dev164038, 2018 | 151 | 2018 |
Genomic analyses implicate noncoding de novo variants in congenital heart disease F Richter, SU Morton, SW Kim, A Kitaygorodsky, LK Wasson, KM Chen, ... Nature genetics 52 (8), 769-777, 2020 | 143 | 2020 |
Sequence-based modeling of three-dimensional genome architecture from kilobase to chromosome scale J Zhou Nature genetics 54 (5), 725-734, 2022 | 127 | 2022 |
Histone H3K9 trimethylase Eggless controls germline stem cell maintenance and differentiation X Wang, L Pan, S Wang, J Zhou, W McDowell, J Park, J Haug, ... PLoS genetics 7 (12), e1002426, 2011 | 106 | 2011 |
Organoid single cell profiling identifies a transcriptional signature of glomerular disease JL Harder, R Menon, EA Otto, J Zhou, S Eddy, NL Wys, C O’Connor, J Luo, ... JCI insight 4 (1), 2019 | 80 | 2019 |
Genome-wide landscape of RNA-binding protein target site dysregulation reveals a major impact on psychiatric disorder risk CY Park, J Zhou, AK Wong, KM Chen, CL Theesfeld, RB Darnell, ... Nature genetics 53 (2), 166-173, 2021 | 70 | 2021 |
Spatial transcriptional mapping of the human nephrogenic program NO Lindström, R Sealfon, X Chen, RK Parvez, A Ransick, GDS Brandine, ... Developmental cell 56 (16), 2381-2398. e6, 2021 | 65 | 2021 |
Dirichlet diffusion score model for biological sequence generation P Avdeyev, C Shi, Y Tan, K Dudnyk, J Zhou International Conference on Machine Learning, 1276-1301, 2023 | 45 | 2023 |
Sequence basis of transcription initiation in the human genome K Dudnyk, D Cai, C Shi, J Xu, J Zhou Science 384 (6694), eadj0116, 2024 | 36 | 2024 |
Global quantitative modeling of chromatin factor interactions J Zhou, OG Troyanskaya PLoS computational biology 10 (3), e1003525, 2014 | 32 | 2014 |
Understanding Society Scientific Group New genetic signals for lung function highlight pathways and chronic obstructive pulmonary disease associations across multiple ancestries N Shrine, AL Guyatt, AM Erzurumluoglu, VE Jackson, BD Hobbs, ... Nat Genet 51 (3), 481-493, 2019 | 30 | 2019 |
Tissue-specific enhancer functional networks for associating distal regulatory regions to disease X Chen, J Zhou, R Zhang, AK Wong, CY Park, CL Theesfeld, ... Cell systems 12 (4), 353-362. e6, 2021 | 25 | 2021 |