Using sufficient direction factor model to analyze latent activities associated with breast cancer survival.

ABSTRACT: High-dimensional gene expression data often exhibit intricate correlation patterns as the result of coordinated genetic regulation. In practice, however, it is difficult to directly measure these coordinated underlying activities. Analysis of breast cancer survival data with gene expressions motivates us to use a two-stage latent factor approach to estimate these unobserved coordinated biological processes. Compared to existing approaches, our proposed procedure has several unique characteristics. In the first stage, an important distinction is that our procedure incorporates prior biological knowledge about gene-pathway membership into the analysis and explicitly model the effects of genetic pathways on the latent factors. Second, to characterize the molecular heterogeneity of breast canc

SUBMITTER: Baek S 

PROVIDER: S-EPMC7305041 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature