MOGSA: Integrative Single Sample Gene-set Analysis of Multiple Omics Data.

ABSTRACT: Gene-set analysis (GSA) summarizes individual molecular measurements to more interpretable pathways or gene-sets and has become an indispensable step in the interpretation of large-scale omics data. However, GSA methods are limited to the analysis of single omics data. Here, we introduce a new computation method termed multi-omics gene-set analysis (MOGSA), a multivariate single sample gene-set analysis method that integrates multiple experimental and molecular data types measured over the same set of samples. The method learns a low dimensional representation of most variant correlated features (genes, proteins, etc.) across multiple omics data sets, transforms the features onto the same scale and calculates an integrated gene-set score from the most informative features in each data type

SUBMITTER: Meng C 

PROVIDER: S-EPMC6692785 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature