A Bayesian framework that integrates multi-omics data and gene networks predicts risk genes from schizophrenia GWAS data Q Wang, R Chen, F Cheng, Q Wei, Y Ji, H Yang, X Zhong, R Tao, Z Wen, ... Nature neuroscience 22 (5), 691-699, 2019 | 131 | 2019 |
A big-data approach to understanding metabolic rate and response to obesity in laboratory mice JK Corrigan, D Ramachandran, Y He, CJ Palmer, MJ Jurczak, R Chen, ... Elife 9, e53560, 2020 | 69 | 2020 |
Subtype-GAN: a deep learning approach for integrative cancer subtyping of multi-omics data H Yang, R Chen, D Li, Z Wang Bioinformatics 37 (16), 2231-2237, 2021 | 59 | 2021 |
Leveraging blood serotonin as an endophenotype to identify de novo and rare variants involved in autism R Chen, LK Davis, S Guter, Q Wei, S Jacob, MH Potter, NJ Cox, EH Cook, ... Molecular autism 8, 1-12, 2017 | 55 | 2017 |
Transcription factor OsTGA10 is a target of the MADS protein OsMADS8 and is required for tapetum development ZS Chen, XF Liu, DH Wang, R Chen, XL Zhang, ZH Xu, SN Bai Plant Physiology 176 (1), 819-835, 2018 | 40 | 2018 |
Phenome-based approach identifies RIC1-linked Mendelian syndrome through zebrafish models, biobank associations and clinical studies G Unlu, X Qi, ER Gamazon, DB Melville, N Patel, AR Rushing, M Hashem, ... Nature medicine 26 (1), 98-109, 2020 | 37 | 2020 |
A gene expression profiling of early rice stamen development that reveals inhibition of photosynthetic genes by OsMADS58 R Chen, LP Shen, DH Wang, FG Wang, HY Zeng, ZS Chen, YB Peng, ... Molecular plant 8 (7), 1069-1089, 2015 | 30 | 2015 |
A haplotype-based framework for group-wise transmission/disequilibrium tests for rare variant association analysis R Chen, Q Wei, X Zhan, X Zhong, JS Sutcliffe, NJ Cox, EH Cook, C Li, ... Bioinformatics 31 (9), 1452-1459, 2015 | 20 | 2015 |
De novo pattern discovery enables robust assessment of functional consequences of non-coding variants BL Hai Yang, Rui Chen, Quan Wang, Qiang Wei, Ying Ji, Guangze Zheng, Xue ... Bioinformatics, 2018 | 19* | 2018 |
The impact of genotype calling errors on family-based studies Q Yan, R Chen, JS Sutcliffe, EH Cook, DE Weeks, B Li, W Chen Scientific Reports 6 (1), 28323, 2016 | 18 | 2016 |
DRAMS: A tool to detect and re-align mixed-up samples for integrative studies of multi-omics data Y Jiang, G Giase, K Grennan, AW Shieh, Y Xia, L Han, Q Wang, Q Wei, ... PLoS computational biology 16 (4), e1007522, 2020 | 7 | 2020 |
From multi-omics data to the cancer druggable gene discovery: a novel machine learning-based approach H Yang, L Gan, R Chen, D Li, J Zhang, Z Wang Briefings in Bioinformatics 24 (1), bbac528, 2023 | 5 | 2023 |
TVAR: assessing tissue-specific functional effects of non-coding variants with deep learning H Yang, R Chen, Q Wang, Q Wei, Y Ji, X Zhong, B Li Bioinformatics 38 (20), 4697-4704, 2022 | 3 | 2022 |
Adjustment method for microarray data generated using two-cycle RNA labeling protocol F Wang, R Chen, D Ji, S Bai, M Qian, M Deng BMC genomics 14, 1-11, 2013 | 3 | 2013 |
OsMADS58 stabilizes gene regulatory circuits during rice stamen development L Shen, F Tian, Z Cheng, Q Zhao, Q Feng, Y Zhao, B Han, Y Fang, Y Lin, ... Plants 11 (21), 2899, 2022 | 1 | 2022 |
Integration of multidimensional splicing data and GWAS summary statistics for risk gene discovery Y Ji, Q Wei, R Chen, Q Wang, R Tao, B Li PLoS Genetics 18 (6), e1009814, 2022 | 1 | 2022 |
Molecular signature incorporating the immune microenvironment enhances thyroid cancer outcome prediction GJ Xu, MA Loberg, JN Gallant, Q Sheng, SC Chen, BD Lehmann, ... Cell Genomics 3 (10), 2023 | | 2023 |
The impact of common variants on gene expression in the human brain: from RNA to protein to schizophrenia risk Q Liang, Y Jiang, AW Shieh, D Zhou, R Chen, F Wang, M Xu, M Niu, ... bioRxiv, 2023 | | 2023 |
A Bayesian framework to integrate multi-level genome-scale data for Autism risk gene prioritization Y Ji, R Chen, Q Wang, Q Wei, R Tao, B Li BMC bioinformatics 23 (1), 146, 2022 | | 2022 |
Leveraging Gene-Level Prediction as Informative Covariate in Hypothesis Weighting Improves Power for Rare Variant Association Studies Y Ji, R Chen, Q Wang, Q Wei, R Tao, B Li Genes 13 (2), 381, 2022 | | 2022 |