Article
An unsupervised approach to identify molecular phenotypic components influencing breast cancer features.
Cancer research - 1 Mar 2004
Selaru Florin M, Yin Jing, Olaru Andreea, Mori Yuriko, Xu Yan, Epstein Steven H, Sato Fumiaki, Deacu Elena, Wang Suna, Sterian Anca, Fulton Amy, Abraham John M, Shibata David, Baquet Claudia, Stass Sanford A, Meltzer Stephen J
Abstract excerpt
To discover a biological basis for clinical subgroupings within breast cancers, we applied principal components (PCs) analysis to cDNA microarray data from 36 breast cancers. We correlated the resulting PCs with clinical features. The 35 PCs discovered were ranked in order of their impact on gene expression patterns. Interestingly, PC 7 identified a unique subgroup consisting of estrogen receptor (ER); (+)...
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