HomeAbout

SIGN IN   Advanced Search










 
Browse Biotechnology
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 multivariate regression technique commonly applied to analyze relationships between signaling or transcriptional data and cellular behavior.

Rate this Resource:
1 = not useful, 5 = very useful

Please be the first to rate this resource.


View Free
Resource

Classifications


Resource Type: Assignment/Activity (non-laboratory), Bibliography, Dataset, Digital presentation (powerpoint), Lecture/Lecture outline
Audience Level: Undergraduate upper division 15-16, Graduate

Author and Copyright


Authors and Editors: Pamela K. Kreeger of Department of Biomedical Engineering, University of Wisconsin-Madison
Publisher: American Association for the Advancement of Science
Format: application/pdf, application/vnd.ms-excel, text/html
Copyright and other restrictions: Yes
Cost: No

Comments


» Sign In or register to post comments.


Collection:
STKE/Science Signaling


     
   

SITE MAP | CONTACT | POLICIES

Triple A S National Science Foundation Naitonal Science Digital Library Pathway
Funded by the individual BEN Collaborators and grants from the
National Science Foundation [DUE 0085840 / DUE 0226185 / DUE 0532797 / DUE 0734995]

This website is a National Science Digital Library (NSDL) Pathway.
Copyright © 2019. American Association for the Advancement of Science. All Rights Reserved.