| Combining multidimensional genomic measurements for predicting cancer prognosis: observations from TCGA Q Zhao, X Shi, Y Xie, J Huang, BC Shia, S Ma Briefings in bioinformatics 16 (2), 291-303, 2015 | 148 | 2015 |
| Integrated analysis of multidimensional omics data on cutaneous melanoma prognosis Y Jiang, X Shi, Q Zhao, M Krauthammer, BEG Rothberg, S Ma Genomics 107 (6), 223-230, 2016 | 56 | 2016 |
| SC-MEB: spatial clustering with hidden Markov random field using empirical Bayes Y Yang, X Shi, W Liu, Q Zhou, M Chan Lau, J Chun Tatt Lim, L Sun, ... Briefings in bioinformatics 23 (1), bbab466, 2022 | 50 | 2022 |
| Integrative analysis of ‘‐omics’ data using penalty functions Q Zhao, X Shi, J Huang, J Liu, Y Li, S Ma Wiley Interdisciplinary Reviews: Computational Statistics 7 (1), 99-108, 2015 | 40 | 2015 |
| A penalized robust semiparametric approach for gene–environment interactions C Wu, X Shi, Y Cui, S Ma Statistics in medicine 34 (30), 4016-4030, 2015 | 36 | 2015 |
| MR-LDP: a two-sample Mendelian randomization for GWAS summary statistics accounting for linkage disequilibrium and horizontal pleiotropy Q Cheng, Y Yang, X Shi, KF Yeung, C Yang, H Peng, J Liu NAR genomics and bioinformatics 2 (2), lqaa028, 2020 | 33 | 2020 |
| Probabilistic embedding, clustering, and alignment for integrating spatial transcriptomics data with PRECAST W Liu, X Liao, Z Luo, Y Yang, MC Lau, Y Jiao, X Shi, W Zhai, H Ji, ... Nature communications 14 (1), 296, 2023 | 32 | 2023 |
| Joint dimension reduction and clustering analysis of single-cell RNA-seq and spatial transcriptomics data W Liu, X Liao, Y Yang, H Lin, J Yeong, X Zhou, X Shi, J Liu Nucleic acids research 50 (12), e72-e72, 2022 | 32 | 2022 |
| Deciphering the associations between gene expression and copy number alteration using a sparse double Laplacian shrinkage approach X Shi, Q Zhao, J Huang, Y Xie, S Ma Bioinformatics 31 (24), 3977-3983, 2015 | 32 | 2015 |
| CoMM-S2: a collaborative mixed model using summary statistics in transcriptome-wide association studies Y Yang, X Shi, Y Jiao, J Huang, M Chen, X Zhou, L Sun, X Lin, C Yang, ... Bioinformatics 36 (7), 2009-2016, 2020 | 30 | 2020 |
| A penalized robust method for identifying gene–environment interactions X Shi, J Liu, J Huang, Y Zhou, Y Xie, S Ma Genetic epidemiology 38 (3), 220-230, 2014 | 29 | 2014 |
| Integrative analysis of high‐throughput cancer studies with contrasted penalization X Shi, J Liu, J Huang, Y Zhou, BC Shia, S Ma Genetic epidemiology 38 (2), 144-151, 2014 | 24 | 2014 |
| A tissue-specific collaborative mixed model for jointly analyzing multiple tissues in transcriptome-wide association studies X Shi, X Chai, Y Yang, Q Cheng, Y Jiao, H Chen, J Huang, C Yang, J Liu Nucleic acids research 48 (19), e109-e109, 2020 | 23 | 2020 |
| Analysis of cancer gene expression data with an assisted robust marker identification approach H Chai, X Shi, Q Zhang, Q Zhao, Y Huang, S Ma Genetic epidemiology 41 (8), 779-789, 2017 | 18 | 2017 |
| Measures for the degree of overlap of gene signatures and applications to TCGA X Shi, H Yi, S Ma Briefings in bioinformatics 16 (5), 735-744, 2015 | 17 | 2015 |
| Similarity of markers identified from cancer gene expression studies: observations from GEO X Shi, S Shen, J Liu, J Huang, Y Zhou, S Ma Briefings in bioinformatics 15 (5), 671-684, 2014 | 13 | 2014 |
| Horizontal and vertical integrative analysis methods for mental disorders omics data S Wang, X Shi, M Wu, S Ma Scientific reports 9 (1), 13430, 2019 | 12 | 2019 |
| A Forward and Backward Stagewise algorithm for nonconvex loss functions with adaptive Lasso X Shi, Y Huang, J Huang, S Ma Computational statistics & data analysis 124, 235-251, 2018 | 12 | 2018 |
| Analyzing association mapping in pedigree‐based GWAS using a penalized multitrait mixed model J Liu, C Yang, X Shi, C Li, J Huang, H Zhao, S Ma Genetic epidemiology 40 (5), 382-393, 2016 | 11 | 2016 |
| MR-Corr2: a two-sample Mendelian randomization method that accounts for correlated horizontal pleiotropy using correlated instrumental variants Q Cheng, T Qiu, X Chai, B Sun, Y Xia, X Shi, J Liu Bioinformatics 38 (2), 303-310, 2022 | 9 | 2022 |
Shuangge MaYale UniversityVerified email at yale.edu
