Robust rank aggregation for gene list integration and meta-analysis.

ABSTRACT:

Motivation

The continued progress in developing technological platforms, availability of many published experimental datasets, as well as different statistical methods to analyze those data have allowed approaching the same research question using various methods simultaneously. To get the best out of all these alternatives, we need to integrate their results in an unbiased manner. Prioritized gene lists are a common result presentation method in genomic data analysis applications. Thus, the rank aggregation methods can become a useful and general solution for the integration task.

Results

Standard rank aggregation methods are often ill-suited for biological settings where the gene lists are inherently noisy. As a remedy, we propose a novel robust rank aggregation (RRA) meth

SUBMITTER: Kolde R 

PROVIDER: S-EPMC3278763 | biostudies-literature | 2012 Feb

REPOSITORIES: biostudies-literature