Medizinische Klinik und Poliklinik I University Hospital Ludwig-Maximilian University

1 ARTICLES PUBLISHED IN JoVE

Genetics

Application of Unsupervised Multi-Omic Factor Analysis to Uncover Patterns of Variation and Molecular Processes Linked to Cardiovascular Disease

Corinna Losert^1,2, Kami Pekayvaz^3,4, Viktoria Knottenberg^3,4, Leo Nicolai^3,4, Konstantin Stark^3,4, Matthias Heinig^1,2,4

¹Institute of Computational Biology, German Research Center for Environmental Health, Helmholtz Zentrum München, ²Department of Computer Science, TUM School of Computation, Information and Technology, Technical University of Munich, ³Medizinische Klinik und Poliklinik I University Hospital Ludwig-Maximilian University, ⁴German Centre for Cardiovascular Research (DZHK), partner site Munich Heart Alliance

We present a flexible, extendible Jupyter-lab-based workflow for the unsupervised analysis of complex multi-omics datasets that combines different pre-processing steps, estimation of the multi-omics factor analysis model, and several downstream analyses.