RT Journal Article SR Electronic T1 DIABLO: from multi-omics assays to biomarker discovery, an integrative approach JF bioRxiv FD Cold Spring Harbor Laboratory SP 067611 DO 10.1101/067611 A1 Amrit Singh A1 Casey P. Shannon A1 Benoît Gautier A1 Florian Rohart A1 Michaël Vacher A1 Scott J. Tebbutt A1 Kim-Anh Lê Cao YR 2018 UL http://biorxiv.org/content/early/2018/03/20/067611.abstract 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/).