换一批MSPJ: Discovering potential biomarkers in small gene expression datasets <i>via</i> ensemble learning.
第一作者：
HuaChun,Yin
第一单位：
Department of Neurosurgery, Xinqiao Hospital, The Army Medical University, Chongqing 400037, China.;College of Life Sciences, Chongqing Normal University, Chongqing 401331, China.;Department of Neurobiology, Chongqing Key Laboratory of Neurobiology, The Army Medical University, Chongqing 400038, China.
作者：
关键词
AUC, area under the ROC curve (AUC)DEGs, differentially expressed genesDifferentially expressed genesFDR, false positive rateFeature selectionGA, genetic algorithmGEO, Gene Expression OmnibusGO, gene ontologyMSPJ, the Joint method of Meta-analysis, SVM-RFE, and Permutation testMachine learningRF, random forestROC, receiver operating characteristicRandom samplingSAM, significance analysis of microarraysSMDs, standardized mean differencesSNR, signal noise ratioSVM-RFE, support vector machines-recursive feature eliminationSmall sample sizemRMR, minimum-redundancy-maximum-relevance
DOI
10.1016/j.csbj.2022.07.022
PMID
35891786
发布时间
2024-09-01
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