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.
