Article

Multi-Omics factor analysis - a framework for unsupervised integration of multi-omic data sets

2017-11-10

Abstract excerpt

Multi-omic studies promise the improved characterization of biological processes across molecular layers. However, methods for the unsupervised integration of the resulting heterogeneous datasets are lacking. We present Multi-Omics Factor Analysis (MOFA), a computational method for discovering the principal sources of variation in multi-omic datasets. MOFA infers a set of (hidden) factors that capture biological a...

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Literature Corpus work: ccd2c411-a74c-5e8c-85ca-65e0f3e931f8
DOI: 10.1101/217554

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