GOexpress: an R/Bioconductor package for the identification and visualisation of robust gene ontology signatures through supervised learning of gene expression data.

ABSTRACT:

Background

Identification of gene expression profiles that differentiate experimental groups is critical for discovery and analysis of key molecular pathways and also for selection of robust diagnostic or prognostic biomarkers. While integration of differential expression statistics has been used to refine gene set enrichment analyses, such approaches are typically limited to single gene lists resulting from simple two-group comparisons or time-series analyses. In contrast, functional class scoring and machine learning approaches provide powerful alternative methods to leverage molecular measurements for pathway analyses, and to compare continuous and multi-level categorical factors.

Results

We introduce GOexpress, a software package for scoring and summarising the capacity

SUBMITTER: Rue-Albrecht K 

PROVIDER: S-EPMC4788925 | biostudies-literature | 2016 Mar

REPOSITORIES: biostudies-literature