Journal article

MINT: a multivariate integrative method to identify reproducible molecular signatures across independent experiments and platforms

Florian Rohart, Aida Eslami, Nicholas Matigian, Stephanie Bougeard, Kim-Anh Le Cao

BMC BIOINFORMATICS | BMC | Published : 2017

Abstract

BACKGROUND: Molecular signatures identified from high-throughput transcriptomic studies often have poor reliability and fail to reproduce across studies. One solution is to combine independent studies into a single integrative analysis, additionally increasing sample size. However, the different protocols and technological platforms across transcriptomic studies produce unwanted systematic variation that strongly confounds the integrative analysis results. When studies aim to discriminate an outcome of interest, the common approach is a sequential two-step procedure; unwanted systematic variation removal techniques are applied prior to classification methods. RESULTS: To limit the risk of ov..

View full abstract

University of Melbourne Researchers