An integrated analysis of molecular aberrations in NCI-60 cell lines.

ABSTRACT:

Background

Cancer is a complex disease where various types of molecular aberrations drive the development and progression of malignancies. Large-scale screenings of multiple types of molecular aberrations (e.g., mutations, copy number variations, DNA methylations, gene expressions) become increasingly important in the prognosis and study of cancer. Consequently, a computational model integrating multiple types of information is essential for the analysis of the comprehensive data.

Results

We propose an integrated modeling framework to identify the statistical and putative causal relations of various molecular aberrations and gene expressions in cancer. To reduce spurious associations among the massive number of probed features, we sequentially applied three layers of logisti

SUBMITTER: Yeang CH 

PROVIDER: S-EPMC2984587 | biostudies-literature | 2010 Oct

REPOSITORIES: biostudies-literature