Exome sequencing identifies recurrent somatic RAC1 mutations in melanoma M Krauthammer, Y Kong, BH Ha, P Evans, A Bacchiocchi, JP McCusker, ... Nature genetics 44 (9), 1006-1014, 2012 | 1346 | 2012 |
Diverse functional autoantibodies in patients with COVID-19 EY Wang, T Mao, J Klein, Y Dai, JD Huck, JR Jaycox, F Liu, T Zhou, ... Nature 595 (7866), 283-288, 2021 | 897 | 2021 |
Adaptive Lasso for sparse high-dimensional regression models J Huang, S Ma, CH Zhang Statistica Sinica, 1603-1618, 2008 | 758 | 2008 |
Asymptotic properties of bridge estimators in sparse high-dimensional regression models J Huang, JL Horowitz, S Ma | 593 | 2008 |
A selective review of group selection in high-dimensional models J Huang, P Breheny, S Ma Statistical science: a review journal of the Institute of Mathematical …, 2012 | 483 | 2012 |
Exome sequencing identifies recurrent mutations in NF1 and RASopathy genes in sun-exposed melanomas M Krauthammer, Y Kong, A Bacchiocchi, P Evans, N Pornputtapong, ... Nature genetics 47 (9), 996-1002, 2015 | 453 | 2015 |
A group bridge approach for variable selection J Huang, S Ma, H Xie, CH Zhang Biometrika 96 (2), 339-355, 2009 | 403 | 2009 |
Penalized feature selection and classification in bioinformatics S Ma, J Huang Briefings in bioinformatics 9 (5), 392-403, 2008 | 341 | 2008 |
Racial differences in three major NHL subtypes: descriptive epidemiology Y Li, Y Wang, Z Wang, D Yi, S Ma Cancer epidemiology 39 (1), 8-13, 2015 | 324 | 2015 |
Supervised group Lasso with applications to microarray data analysis S Ma, X Song, J Huang BMC bioinformatics 8, 1-17, 2007 | 304 | 2007 |
Relative risk regression in medical research: models, contrasts, estimators, and algorithms T Lumley, R Kronmal, S Ma bepress, 2006 | 296 | 2006 |
Birth weight reference percentiles for Chinese L Dai, C Deng, Y Li, J Zhu, Y Mu, Y Deng, M Mao, Y Wang, Q Li, S Ma, ... PloS one 9 (8), e104779, 2014 | 278 | 2014 |
Principal component analysis based methods in bioinformatics studies S Ma, Y Dai Briefings in bioinformatics 12 (6), 714-722, 2011 | 248 | 2011 |
Regularized ROC method for disease classification and biomarker selection with microarray data S Ma, J Huang Bioinformatics 21 (24), 4356-4362, 2005 | 226 | 2005 |
Regularized estimation in the accelerated failure time model with high-dimensional covariates J Huang, S Ma, H Xie Biometrics 62 (3), 813-820, 2006 | 205 | 2006 |
A birth cohort analysis of the incidence of papillary thyroid cancer in the United States, 1973–2004 C Zhu, T Zheng, BA Kilfoy, X Han, S Ma, Y Ba, Y Bai, R Wang, Y Zhu, ... Thyroid 19 (10), 1061-1066, 2009 | 191 | 2009 |
A selective review of multi-level omics data integration using variable selection C Wu, F Zhou, J Ren, X Li, Y Jiang, S Ma High-throughput 8 (1), 4, 2019 | 178 | 2019 |
Racial differences in six major subtypes of melanoma: descriptive epidemiology Y Wang, Y Zhao, S Ma BMC cancer 16, 1-19, 2016 | 153 | 2016 |
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 | 153 | 2015 |
Robust semiparametric M-estimation and the weighted bootstrap S Ma, MR Kosorok Journal of Multivariate Analysis 96 (1), 190-217, 2005 | 146 | 2005 |