DIABLO: an integrative approach for identifying key molecular drivers from multi-omics assays

摘要

In the continuously expanding omics era, novel computational and statistical strategies are needed for data integration and identification of biomarkers and molecular signatures. We present ata ntegration nalysis for iomarker discovery using atent c mponents (DIABLO), a multi-omics integrative method that seeks for common information across different data types through the selection of a subset of molecular features, while discriminating between multiple phenotypic groups.