Revealing molecular mechanisms by integrating high-dimensional functional screens with protein interaction data.

ABSTRACT: Functional genomics screens using multi-parametric assays are powerful approaches for identifying genes involved in particular cellular processes. However, they suffer from problems like noise, and often provide little insight into molecular mechanisms. A bottleneck for addressing these issues is the lack of computational methods for the systematic integration of multi-parametric phenotypic datasets with molecular interactions. Here, we present Integrative Multi Profile Analysis of Cellular Traits (IMPACT). The main goal of IMPACT is to identify the most consistent phenotypic profile among interacting genes. This approach utilizes two types of external information: sets of related genes (IMPACT-sets) and network information (IMPACT-modules). Based on the notion that interacting genes are m

SUBMITTER: Simeone A 

PROVIDER: S-EPMC4154648 | biostudies-literature | 2014 Sep

REPOSITORIES: biostudies-literature