Causal analysis approaches in Ingenuity Pathway Analysis.

ABSTRACT:

Motivation

Prior biological knowledge greatly facilitates the meaningful interpretation of gene-expression data. Causal networks constructed from individual relationships curated from the literature are particularly suited for this task, since they create mechanistic hypotheses that explain the expression changes observed in datasets.

Results

We present and discuss a suite of algorithms and tools for inferring and scoring regulator networks upstream of gene-expression data based on a large-scale causal network derived from the Ingenuity Knowledge Base. We extend the method to predict downstream effects on biological functions and diseases and demonstrate the validity of our approach by applying it to example datasets.

Availability

The causal analytics tools 'Upstream

SUBMITTER: Kramer A 

PROVIDER: S-EPMC3928520 | biostudies-literature | 2014 Feb

REPOSITORIES: biostudies-literature