Principal components analysis based methodology to identify differentially expressed genes in time-course microarray data

被引：0
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作者：
Sudhakar Jonnalagadda
Rajagopalan Srinivasan
机构：
[1] National University of Singapore,Department of Chemical and Biomolecular Engineering
来源：
BMC Bioinformatics | / 9卷
关键词：
Mahalanobis Distance; Principal Component Analysis Model; HSF1 Gene; Fundamental Pattern; SIC1 Cluster;
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