HomeAbout

SIGN IN   Advanced Search










 
Browse Illustration
Introduction to Statistical Methods to Analyze Large Data Sets: Principal Components Analysis

This Teaching Resource provides lecture notes, slides, and a problem set for a series of lectures from a course entitled “Systems Biology: Biomedical Modeling.” The materials are a lecture introducing the mathematical concepts behind principal components analysis (PCA). The lecture describes how to handle large data sets with correlation methods and unsupervised clustering with this popular method of analysis, PCA.

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

Please be the first to rate this resource.


View Free
Resource

Classifications


Resource Type: Assessment- exam with answer key, Assignment/Activity (non-laboratory), Bibliography, Diagram, Digital presentation (powerpoint), Illustration, Lecture/Lecture outline, Lesson plan, Teaching strategies & guidelines
Audience Level: Undergraduate upper division 15-16, Graduate, Professional (degree program)

Author and Copyright


Authors and Editors: Neil R. Clark of Mount Sinai School of Medicine, New York, Avi Ma'ayan of Mount Sinai School of Medicine, New York
Publisher: American Association for the Advancement of Science
Format: application/pdf, application/vnd.ms-powerpoint, 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.