| Year |
Citation |
Score |
| 2024 |
Shrine N, Guyatt AL, Erzurumluoglu AM, Jackson VE, Hobbs BD, Melbourne CA, Batini C, Fawcett KA, Song K, Sakornsakolpat P, Li X, Boxall R, Reeve NF, Obeidat M, Zhao JH, ... ... Zhou J, et al. Author Correction: New genetic signals for lung function highlight pathways and chronic obstructive pulmonary disease associations across multiple ancestries. Nature Genetics. PMID 38641645 DOI: 10.1038/s41588-024-01752-4 |
0.481 |
|
| 2024 |
Sokolova K, Chen KM, Hao Y, Zhou J, Troyanskaya OG. Deep Learning Sequence Models for Transcriptional Regulation. Annual Review of Genomics and Human Genetics. PMID 38594933 DOI: 10.1146/annurev-genom-021623-024727 |
0.686 |
|
| 2022 |
Chen KM, Wong AK, Troyanskaya OG, Zhou J. A sequence-based global map of regulatory activity for deciphering human genetics. Nature Genetics. PMID 35817977 DOI: 10.1038/s41588-022-01102-2 |
0.554 |
|
| 2022 |
Zhou J, Troyanskaya OG. Author Correction: An analytical framework for interpretable and generalizable single-cell data analysis. Nature Methods. PMID 35165450 DOI: 10.1038/s41592-022-01421-6 |
0.463 |
|
| 2021 |
Zhou J, Troyanskaya OG. An analytical framework for interpretable and generalizable single-cell data analysis. Nature Methods. 18: 1317-1321. PMID 34725480 DOI: 10.1038/s41592-021-01286-1 |
0.465 |
|
| 2021 |
Lindström NO, Sealfon R, Chen X, Parvez RK, Ransick A, De Sena Brandine G, Guo J, Hill B, Tran T, Kim AD, Zhou J, Tadych A, Watters A, Wong A, Lovero E, et al. Spatial transcriptional mapping of the human nephrogenic program. Developmental Cell. 56: 2381-2398.e6. PMID 34428401 DOI: 10.1016/j.devcel.2021.07.017 |
0.517 |
|
| 2021 |
Chen X, Zhou J, Zhang R, Wong AK, Park CY, Theesfeld CL, Troyanskaya OG. Tissue-specific enhancer functional networks for associating distal regulatory regions to disease. Cell Systems. PMID 33689683 DOI: 10.1016/j.cels.2021.02.002 |
0.541 |
|
| 2021 |
Park CY, Zhou J, Wong AK, Chen KM, Theesfeld CL, Darnell RB, Troyanskaya OG. Genome-wide landscape of RNA-binding protein target site dysregulation reveals a major impact on psychiatric disorder risk. Nature Genetics. PMID 33462483 DOI: 10.1038/s41588-020-00761-3 |
0.511 |
|
| 2020 |
El-Achkar TM, Eadon MT, Menon R, Lake BB, Sigdel TK, Alexandrov T, Parikh S, Zhang G, Dobib D, Dunn KW, Otto EA, Anderton CR, Carson JM, Luo J, Park C, ... ... Zhou J, et al. A Multimodal and Integrated Approach to Interrogate Human Kidney Biopsies with Rigor and Reproducibility: Guidelines from the Kidney Precision Medicine Project. Physiological Genomics. PMID 33197228 DOI: 10.1152/physiolgenomics.00104.2020 |
0.486 |
|
| 2020 |
Richter F, Morton SU, Kim SW, Kitaygorodsky A, Wasson LK, Chen KM, Zhou J, Qi H, Patel N, DePalma SR, Parfenov M, Homsy J, Gorham JM, Manheimer KB, Velinder M, et al. Genomic analyses implicate noncoding de novo variants in congenital heart disease. Nature Genetics. PMID 32601476 DOI: 10.1038/S41588-020-0652-Z |
0.514 |
|
| 2019 |
Zhou J, Schor IE, Yao V, Theesfeld CL, Marco-Ferreres R, Tadych A, Furlong EEM, Troyanskaya OG. Accurate genome-wide predictions of spatio-temporal gene expression during embryonic development. Plos Genetics. 15: e1008382. PMID 31553718 DOI: 10.1371/Journal.Pgen.1008382 |
0.532 |
|
| 2019 |
Zhou J, Park CY, Theesfeld CL, Wong AK, Yuan Y, Scheckel C, Fak JJ, Funk J, Yao K, Tajima Y, Packer A, Darnell RB, Troyanskaya OG. Whole-genome deep-learning analysis identifies contribution of noncoding mutations to autism risk. Nature Genetics. PMID 31133750 DOI: 10.1038/S41588-019-0420-0 |
0.502 |
|
| 2019 |
Shrine N, Guyatt AL, Erzurumluoglu AM, Jackson VE, Hobbs BD, Melbourne CA, Batini C, Fawcett KA, Song K, Sakornsakolpat P, Li X, Boxall R, Reeve NF, Obeidat M, Zhao JH, ... ... Zhou J, et al. Author Correction: New genetic signals for lung function highlight pathways and chronic obstructive pulmonary disease associations across multiple ancestries. Nature Genetics. PMID 31110354 DOI: 10.1038/S41588-019-0438-3 |
0.483 |
|
| 2019 |
Chen KM, Cofer EM, Zhou J, Troyanskaya OG. Selene: a PyTorch-based deep learning library for sequence data. Nature Methods. 16: 315-318. PMID 30923381 DOI: 10.1038/S41592-019-0360-8 |
0.488 |
|
| 2019 |
Shrine N, Guyatt AL, Erzurumluoglu AM, Jackson VE, Hobbs BD, Melbourne CA, Batini C, Fawcett KA, Song K, Sakornsakolpat P, Li X, Boxall R, Reeve NF, Obeidat M, Zhao JH, ... ... Zhou J, et al. New genetic signals for lung function highlight pathways and chronic obstructive pulmonary disease associations across multiple ancestries. Nature Genetics. PMID 30804560 DOI: 10.1038/S41588-018-0321-7 |
0.499 |
|
| 2019 |
Harder JL, Menon R, Otto EA, Zhou J, Eddy S, Wys NL, O'Connor C, Luo J, Nair V, Cebrian C, Spence JR, Bitzer M, Troyanskaya OG, Hodgin JB, Wiggins RC, et al. Organoid single cell profiling identifies a transcriptional signature of glomerular disease. Jci Insight. 4. PMID 30626756 DOI: 10.1172/Jci.Insight.122697 |
0.532 |
|
| 2018 |
Menon R, Otto EA, Kokoruda A, Zhou J, Zhang Z, Yoon E, Chen YC, Troyanskaya O, Spence JR, Kretzler M, Cebrián C. Single-cell analysis of progenitor cell dynamics and lineage specification in the human fetal kidney. Development (Cambridge, England). 145. PMID 30166318 DOI: 10.1242/Dev.164038 |
0.515 |
|
| 2018 |
Zhou J, Theesfeld CL, Yao K, Chen KM, Wong AK, Troyanskaya OG. Deep learning sequence-based ab initio prediction of variant effects on expression and disease risk. Nature Genetics. PMID 30013180 DOI: 10.1038/S41588-018-0160-6 |
0.558 |
|
| 2016 |
Zhou J, Troyanskaya OG. Probabilistic modelling of chromatin code landscape reveals functional diversity of enhancer-like chromatin states. Nature Communications. 7: 10528. PMID 26841971 DOI: 10.1038/Ncomms10528 |
0.495 |
|
| 2015 |
Zhou J, Troyanskaya OG. Predicting effects of noncoding variants with deep learning-based sequence model. Nature Methods. 12: 931-4. PMID 26301843 DOI: 10.1038/Nmeth.3547 |
0.547 |
|
| 2014 |
Zhou J, Troyanskaya OG. Global quantitative modeling of chromatin factor interactions. Plos Computational Biology. 10: e1003525. PMID 24675896 DOI: 10.1371/Journal.Pcbi.1003525 |
0.512 |
|
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