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BIRS Workshop Lecture Videos

sc targeted proteomics: comparing multi-block PCA, linear regression Meng, Chen


Dr. Chen Meng is Head of Bioinformatics at the Bavarian Center for Biomolecular Mass Spectrometry, TU Munich, Freising, Germany. ( Dr. Chen Meng mainly worked approach integrating partially overlapping proteomic data collected on different patients with similar phenotypes using two methods: simple linear regression (as a baseline/control) and multi-block PCA (MBPCA; including multiple co-inertia, multiple canonical correspondence analysis as special cases). In theory, MBPCA should outperform simple linear regression because it finds the correlated pattern across multiple datasets, preventing the potential problem of overfitting to one dataset. Code is available at

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