| Genetic drivers of epigenetic and transcriptional variation in human immune cells L Chen, B Ge, FP Casale, L Vasquez, T Kwan, D Garrido-Martín, S Watt, ... Cell 167 (5), 1398-1414. e24, 2016 | 665 | 2016 |
| iSNO-AAPair: incorporating amino acid pairwise coupling into PseAAC for predicting cysteine S-nitrosylation sites in proteins Y Xu, XJ Shao, LY Wu, NY Deng, KC Chou PeerJ 1, e171, 2013 | 308 | 2013 |
| iHyd-PseAAC: predicting hydroxyproline and hydroxylysine in proteins by incorporating dipeptide position-specific propensity into pseudo amino acid composition Y Xu, X Wen, XJ Shao, NY Deng, KC Chou International journal of molecular sciences 15 (5), 7594-7610, 2014 | 236 | 2014 |
| GenPipes: an open-source framework for distributed and scalable genomic analyses M Bourgey, R Dali, R Eveleigh, KC Chen, L Letourneau, J Fillon, ... Gigascience 8 (6), giz037, 2019 | 155 | 2019 |
| Aging-like spontaneous epigenetic silencing facilitates Wnt activation, stemness, and BrafV600E-induced tumorigenesis Y Tao, B Kang, DA Petkovich, YR Bhandari, J In, G Stein-O'Brien, X Kong, ... Cancer cell 35 (2), 315-328. e6, 2019 | 130 | 2019 |
| Characterization of functional methylomes by next-generation capture sequencing identifies novel disease-associated variants F Allum, X Shao, F Guénard, MM Simon, S Busche, M Caron, ... Nature communications 6 (1), 7211, 2015 | 118 | 2015 |
| Genome-wide analysis of differential transcriptional and epigenetic variability across human immune cell types S Ecker, L Chen, V Pancaldi, FO Bagger, JM Fernández, ... Genome biology 18, 1-17, 2017 | 117 | 2017 |
| Population whole-genome bisulfite sequencing across two tissues highlights the environment as the principal source of human methylome variation S Busche, X Shao, M Caron, T Kwan, F Allum, WA Cheung, B Ge, ... Genome biology 16, 1-18, 2015 | 93 | 2015 |
| Functional variation in allelic methylomes underscores a strong genetic contribution and reveals novel epigenetic alterations in the human epigenome WA Cheung, X Shao, A Morin, V Siroux, T Kwan, B Ge, D Aïssi, L Chen, ... Genome biology 18, 1-21, 2017 | 92 | 2017 |
| Predicting DNA-and RNA-binding proteins from sequences with kernel methods X Shao, Y Tian, L Wu, Y Wang, L Jing, N Deng Journal of Theoretical Biology 258 (2), 289-293, 2009 | 85 | 2009 |
| The dynamics of DNA methylation fidelity during mouse embryonic stem cell self-renewal and differentiation L Zhao, M Sun, Z Li, X Bai, M Yu, M Wang, L Liang, X Shao, S Arnovitz, ... Genome research 24 (8), 1296-1307, 2014 | 84 | 2014 |
| Prediction of posttranslational modification sites from amino acid sequences with kernel methods Y Xu, X Wang, Y Wang, Y Tian, X Shao, LY Wu, N Deng Journal of theoretical biology 344, 78-87, 2014 | 51 | 2014 |
| An incremental learning algorithm for Lagrangian support vector machines H Duan, X Shao, W Hou, G He, Q Zeng Pattern recognition letters 30 (15), 1384-1391, 2009 | 49 | 2009 |
| Gene expression variations are predictive for stochastic noise D Dong, X Shao, N Deng, Z Zhang Nucleic acids research 39 (2), 403-413, 2011 | 48 | 2011 |
| The impact of lockdown timing on COVID-19 transmission across US counties X Huang, X Shao, L Xing, Y Hu, DD Sin, X Zhang EClinicalMedicine 38, 2021 | 46 | 2021 |
| Systematic DNA methylation analysis of multiple cell lines reveals common and specific patterns within and across tissues of origin X Yang, X Shao, L Gao, S Zhang Human molecular genetics 24 (15), 4374-4384, 2015 | 45 | 2015 |
| High-resolution analyses of human sperm dynamic methylome reveal thousands of novel age-related epigenetic alterations M Cao, X Shao, P Chan, W Cheung, T Kwan, T Pastinen, B Robaire Clinical epigenetics 12, 1-16, 2020 | 41 | 2020 |
| A regression framework incorporating quantitative and negative interaction data improves quantitative prediction of PDZ domain–peptide interaction from primary sequence X Shao, CSH Tan, C Voss, SSC Li, N Deng, GD Bader Bioinformatics 27 (3), 383-390, 2011 | 35 | 2011 |
| Optimizing ChIP-seq peak detectors using visual labels and supervised machine learning TD Hocking, P Goerner-Potvin, A Morin, X Shao, T Pastinen, G Bourque Bioinformatics 33 (4), 491-499, 2017 | 34 | 2017 |
| Customized MethylC-capture sequencing to evaluate variation in the human sperm DNA methylome representative of altered folate metabolism D Chan, X Shao, MC Dumargne, M Aarabi, MM Simon, T Kwan, JL Bailey, ... Environmental health perspectives 127 (8), 087002, 2019 | 31 | 2019 |
Elin GrundbergChildren's Mercy Kansas City在 cmh.edu 的电子邮件经过验证
