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Shuangge Ma
Researcher at Yale University
Publications - 368
Citations - 13115
Shuangge Ma is an academic researcher from Yale University. The author has contributed to research in topics: Feature selection & Covariate. The author has an hindex of 47, co-authored 338 publications receiving 10622 citations. Previous affiliations of Shuangge Ma include The Catholic University of America & Taiyuan University of Technology.
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Journal ArticleDOI
Exome sequencing identifies recurrent somatic RAC1 mutations in melanoma.
Michael Krauthammer,Yong Lin Kong,Byung Hak Ha,Perry Evans,Antonella Bacchiocchi,James P. McCusker,Elaine Cheng,Matthew J. Davis,Gerald Goh,Murim Choi,Stephan Ariyan,Deepak Narayan,Ken Dutton-Regester,Ken Dutton-Regester,Ana Capatana,Edna C. Holman,Marcus Bosenberg,Mario Sznol,Harriet M. Kluger,Douglas E. Brash,David F. Stern,Miguel A. Materin,Roger S. Lo,Shrikant Mane,Shuangge Ma,Kenneth K. Kidd,Nicholas K. Hayward,Richard P. Lifton,Joseph Schlessinger,Titus J. Boggon,Ruth Halaban +30 more
TL;DR: In this article, the authors characterized the mutational landscape of melanoma, the form of skin cancer with the highest mortality rate, by sequencing the exomes of 147 melanomas and found that sun-exposed melanomas had markedly more ultraviolet-like C>T somatic mutations compared to sun-shielded acral, mucosal and uveal melanomas.
Journal Article
Adaptive Lasso for sparse high-dimensional regression models
TL;DR: The adaptive Lasso has the oracle property even when the number of covariates is much larger than the sample size, and under a partial orthogonality condition in which the covariates with zero coefficients are weakly correlated with the covariate with nonzero coefficients, marginal regression can be used to obtain the initial estimator.
Journal ArticleDOI
Regularized gene selection in cancer microarray meta-analysis.
Shuangge Ma,Jian Huang +1 more
TL;DR: Simulation studies and analyses of multiple pancreatic and liver cancer experiments demonstrate the superior performance of the Meta Threshold Gradient Descent Regularization approach for gene selection in the meta analysis of cancer microarray data.
Journal ArticleDOI
Diverse Functional Autoantibodies in Patients with COVID-19.
Eric Wang,Tianyang Mao,Jon Klein,Yile Dai,John D. Huck,Jillian R. Jaycox,Feimei Liu,Ting Zhou,Benjamin Israelow,Patrick Wong,Andreas Coppi,Carolina Lucas,Julio Silva,Ji Eun Oh,Eric Song,Emily S. Perotti,Neil S Zheng,Suzanne Fischer,Melissa Campbell,John Fournier,Anne L. Wyllie,Chantal B.F. Vogels,Isabel M. Ott,Chaney C. Kalinich,Mary E. Petrone,Anne E. Watkins,Charles S. Dela Cruz,Shelli F. Farhadian,Wade L. Schulz,Shuangge Ma,Nathan D. Grubaugh,Albert I. Ko,Akiko Iwasaki,Akiko Iwasaki,Aaron M. Ring +34 more
TL;DR: In this article, a high-throughput autoantibody discovery technique known as rapid extracellular antigen profiling was used to screen a cohort of 194 individuals infected with SARS-CoV-2, comprising 172 patients with COVID-19 and 22 health care workers with mild disease or asymptomatic infection, for auto-antibodies against 2,770 proteins (members of the exoproteome).
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Asymptotic properties of bridge estimators in sparse high-dimensional regression models
TL;DR: In this paper, the authors studied the asymptotic properties of bridge estimators in sparse, high-dimensional, linear regression models when the number of covariates may increase to infinity with the sample size.