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Weighted-SAMGSR: combining significance analysis of microarray-gene set reduction algorithm with pathway topology-based weights to select relevant genes.

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第一作者： Suyan,Tian

第一单位： Division of Clinical Research, The First Hospital of Jilin University, 71Xinmin Street, Changchun, Jilin, China, 130021. stian@rockefeller.edu.;School of Mathematics, Jilin University, 2699 Qianjin Street, Changchun, Jilin, China, 130012. stian@rockefeller.edu.

作者： Suyan,Tian ^[1] ; Howard H,Chang ^[2] ; Chi,Wang ^[3]

作者单位： Division of Clinical Research, The First Hospital of Jilin University, 71Xinmin Street, Changchun, Jilin, China, 130021. stian@rockefeller.edu.;School of Mathematics, Jilin University, 2699 Qianjin Street, Changchun, Jilin, China, 130012. stian@rockefeller.edu. ^[1] Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, 1518 Clifton Road NE, Atlanta, GA, 30322, USA. ^[2] Department of Biostatistics, Markey Cancer Center, The University of Kentucky, 800 Rose St., Lexington, KY, 40536, USA. ^[3]

关键词 Multiple sclerosis (MS)Non-small cell lung cancer (NSCLC)Pathway knowledge Pathway-based feature selection Significance analysis of microarray (SAM)Weighted gene expression profiles

DOI 10.1186/s13062-016-0152-3

PMID 27681389

发布时间 2019-11-20

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