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To select relevant features for longitudinal gene expression data by extending a pathway analysis method.

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第一作者： Suyan,Tian

第一单位： Division of Clinical Research, The First Hospital of Jilin University, Changchun, Jilin, 130021, China.

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

作者单位： Division of Clinical Research, The First Hospital of Jilin University, Changchun, Jilin, 130021, China. ^[1] Department of Biostatistics, The University of Kentuchy, Lexington, KY, 40536, USA. ^[2] Department of Biostatistics and Bioinformatics, Emory University, Atlanta, GA, 30322, USA. ^[3]

关键词 Core subset; feature selection; gene set analysis; longitudinal microarray data; significance analysis of microarray (SAM)

医学主题词算法(Algorithms);基因表达(Gene Expression);人类(Humans);寡核苷酸序列分析(Oligonucleotide Array Sequence Analysis)

DOI 10.12688/f1000research.15357.1

PMID 30271585

发布时间 2023-10-10

基金项目

P30 CA177558/CA/NCI NIH HHS/United States

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To select relevant features for longitudinal gene expression data by extending a pathway analysis method.

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To select relevant features for longitudinal gene expression data by extending a pathway analysis method.

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