title: Using partial least squares regression to analyze cellular response data.
abstract: 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.
authors.affiliation: Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA. kreeger@wisc.edu
authors.forename: Pamela K
authors.initials: PK
authors.lastname: Kreeger
mesh_terms: D002468:Cell Physiological Phenomena / Q000502:physiology*; D016018:Least-Squares Analysis; D008954:Models, Biological; D015398:Signal Transduction / Q000502:physiology*; D049490:Systems Biology / Q000379:methods*; D013664:Teaching Materials