Using partial least squares regression to analyze cellular response data

Using partial least squares regression to analyze cellular response data

This Teaching Resource provides lecture notes, slides, and a problem set for a lecture introducing the mathematical concepts and interpretation of partial least squares regression (PLSR) that were part of a course entitled "Systems Biology: Mammalian Signaling Networks." PLSR is a multivar...

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Veröffentlicht in:Science signaling 2013-04, Vol.6 (271), p.tr7-tr7
1. Verfasser: Kreeger, Pamela K
Format: Artikel
Sprache:eng
Schlagworte:
Cell Physiological Phenomena - physiology
Least-Squares Analysis
Models, Biological
Signal Transduction - physiology
Systems Biology - methods
Teaching Materials
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Beschreibung
Zusammenfassung:This Teaching Resource provides lecture notes, slides, and a problem set for a lecture introducing the mathematical concepts and interpretation of partial least squares regression (PLSR) that were part of a course entitled "Systems Biology: Mammalian Signaling Networks." PLSR is a multivariate regression technique commonly applied to analyze relationships between signaling or transcriptional data and cellular behavior.
ISSN:1945-0877
1937-9145
DOI:10.1126/scisignal.2003849