Deciphering causal and statistical relations of molecular aberrations and gene expressions in NCI-60 cell lines.

ABSTRACT:

Background

Cancer cells harbor a large number of molecular alterations such as mutations, amplifications and deletions on DNA sequences and epigenetic changes on DNA methylations. These aberrations may dysregulate gene expressions, which in turn drive the malignancy of tumors. Deciphering the causal and statistical relations of molecular aberrations and gene expressions is critical for understanding the molecular mechanisms of clinical phenotypes.

Results

In this work, we proposed a computational method to reconstruct association modules containing driver aberrations, passenger mRNA or microRNA expressions, and putative regulators that mediate the effects from drivers to passengers. By applying the module-finding algorithm to the integrated datasets of NCI-60 cancer cell lin

SUBMITTER: Li SD 

PROVIDER: S-EPMC3259106 | biostudies-literature | 2011 Nov

REPOSITORIES: biostudies-literature