Application of Unsupervised Multi-Omic Factor Analysis to Uncover Patterns of Variation and Molecular Processes Linked to Cardiovascular Disease
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08:51 min
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September 20th, 2024
DOI :
September 20th, 2024
•Corinna Losert1,2, Kami Pekayvaz3,4, Viktoria Knottenberg3,4, Leo Nicolai3,4, Konstantin Stark3,4, Matthias Heinig1,2,4
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
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Chapters in this video
0:00
Introduction
1:27
Preparation, Pre‐Processing, and Harmonization of Data for MOFA Analysis
5:35
Running MOFA for Unsupervised Data Exploration of Complex Multi‐Omics Datasets
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