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sc targeted proteomics: comparing multi-block PCA, linear regression Meng, Chen
Description
Dr. Chen Meng is Head of Bioinformatics at the Bavarian Center for Biomolecular Mass Spectrometry, TU Munich, Freising, Germany. (https://www.baybioms.tum.de/about-us/people/) 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 https://github.com/mengchen18/BIRSBioIntegrationWorkshop
Item Metadata
| Title |
sc targeted proteomics: comparing multi-block PCA, linear regression
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| Creator | |
| Publisher |
Banff International Research Station for Mathematical Innovation and Discovery
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| Date Issued |
2020-06-16T07:20
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| Description |
Dr. Chen Meng is Head of Bioinformatics at the Bavarian Center for Biomolecular Mass Spectrometry, TU Munich, Freising, Germany. (https://www.baybioms.tum.de/about-us/people/)
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 https://github.com/mengchen18/BIRSBioIntegrationWorkshop
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| Extent |
16.0 minutes
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| Subject | |
| Type | |
| File Format |
video/mp4
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| Language |
eng
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| Notes |
Author affiliation: BayBioMS TU Munich
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| Series | |
| Date Available |
2020-12-14
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| Provider |
Vancouver : University of British Columbia Library
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| Rights |
Attribution-NonCommercial-NoDerivatives 4.0 International
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| DOI |
10.14288/1.0395270
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| URI | |
| Affiliation | |
| Peer Review Status |
Unreviewed
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| Scholarly Level |
Other
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| Rights URI | |
| Aggregated Source Repository |
DSpace
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Item Media
Item Citations and Data
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International