PT - JOURNAL ARTICLE AU - Amrit Singh AU - Casey P. Shannon AU - Benoît Gautier AU - Florian Rohart AU - Michaël Vacher AU - Scott J. Tebbutt AU - Kim-Anh Lê Cao TI - DIABLO: from multi-omics assays to biomarker discovery, an integrative approach AID - 10.1101/067611 DP - 2018 Jan 01 TA - bioRxiv PG - 067611 4099 - http://biorxiv.org/content/early/2018/03/20/067611.short 4100 - http://biorxiv.org/content/early/2018/03/20/067611.full AB - Systems biology approaches, leveraging multi-omics measurements, are needed to capture the complexity of biological networks while identifying the key molecular drivers of disease mechanisms. We present DIABLO, a novel integrative method to identify multi-omics biomarker panels that can discriminate between multiple phenotypic groups. In the multi-omics analyses of simulated and real-world datasets, DIABLO resulted in superior biological enrichment compared to other integrative methods, and achieved comparable predictive performance with existing multi-step classification schemes. DIABLO is a versatile approach that will benefit a diverse range of research areas, where multiple high dimensional datasets are available for the same set of specimens. DIABLO is implemented along with tools for model selection, and validation, as well as graphical outputs to assist in the interpretation of these integrative analyses (http://mixomics.org/).