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

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 overfitting and over-optimistic results of a two-step procedure, we developed a novel mul

SUBMITTER: Rohart F 

PROVIDER: S-EPMC5327533 | biostudies-literature | 2017 Feb

REPOSITORIES: biostudies-literature