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Sci. Signal., 16 April 2013
Vol. 6, Issue 271, p. tr7
[DOI: 10.1126/scisignal.2003849]

TEACHING RESOURCES

Using Partial Least Squares Regression to Analyze Cellular Response Data

Pamela K. Kreeger*

Department of Biomedical Engineering, University of Wisconsin–Madison, Madison, WI 53706, USA.

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.

* Corresponding author. E-mail: kreeger{at}wisc.edu

Citation: P. K. Kreeger, Using Partial Least Squares Regression to Analyze Cellular Response Data. Sci. Signal. 6, tr7 (2013).

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