Tissue-aware data integration approach for the inference of pathway interactions in metazoan organisms.

ABSTRACT:

Motivation

Leveraging the large compendium of genomic data to predict biomedical pathways and specific mechanisms of protein interactions genome-wide in metazoan organisms has been challenging. In contrast to unicellular organisms, biological and technical variation originating from diverse tissues and cell-lineages is often the largest source of variation in metazoan data compendia. Therefore, a new computational strategy accounting for the tissue heterogeneity in the functional genomic data is needed to accurately translate the vast amount of human genomic data into specific interaction-level hypotheses.

Results

We developed an integrated, scalable strategy for inferring multiple human gene interaction types that takes advantage of data from diverse tissue and cell-lineage

SUBMITTER: Park CY 

PROVIDER: S-EPMC4804827 | biostudies-literature | 2015 Apr

REPOSITORIES: biostudies-literature