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Jian Zhou
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Cited by
Year
Predicting effects of noncoding variants with deep learning–based sequence model
J Zhou, OG Troyanskaya
Nature methods 12 (10), 931-934, 2015
21282015
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
4782018
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
3842019
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
3182014
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
2732019
Deep supervised and convolutional generative stochastic network for protein secondary structure prediction
J Zhou, O Troyanskaya
International conference on machine learning, 745-753, 2014
1922014
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
1422018
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
131*2019
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
1112020
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
1022011
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
1012022
Sequence-based modeling of three-dimensional genome architecture from kilobase to chromosome scale
J Zhou
Nature genetics 54 (5), 725-734, 2022
78*2022
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
702019
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
552021
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
492021
Global quantitative modeling of chromatin factor interactions
J Zhou, OG Troyanskaya
PLoS computational biology 10 (3), e1003525, 2014
322014
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
292019
Probabilistic modelling of chromatin code landscape reveals functional diversity of enhancer-like chromatin states
J Zhou, OG Troyanskaya
Nature communications 7 (1), 10528, 2016
252016
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
232021
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
132023
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Articles 1–20