Latent factor analysis to discover pathway-associated putative segmental aneuploidies in human cancers.

ABSTRACT: Tumor microenvironmental stresses, such as hypoxia and lactic acidosis, play important roles in tumor progression. Although gene signatures reflecting the influence of these stresses are powerful approaches to link expression with phenotypes, they do not fully reflect the complexity of human cancers. Here, we describe the use of latent factor models to further dissect the stress gene signatures in a breast cancer expression dataset. The genes in these latent factors are coordinately expressed in tumors and depict distinct, interacting components of the biological processes. The genes in several latent factors are highly enriched in chromosomal locations. When these factors are analyzed in independent datasets with gene expression and array CGH data, the expression values of these factors a

SUBMITTER: Lucas JE 

PROVIDER: S-EPMC2932681 | biostudies-literature | 2010 Sep

REPOSITORIES: biostudies-literature