Note to users. If you're seeing this message, it means that your browser cannot find this page's style/presentation instructions -- or possibly that you are using a browser that does not support current Web standards. Find out more about why this message is appearing, and what you can do to make your experience of our site the best it can be.


Sci. Signal., 13 September 2011
[DOI: 10.1126/scisignal.2001967]

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

Neil R. Clark and Avi Ma'ayan*

*Corresponding author. E-mail, avi.maayan{at}mssm.edu

Slides. This Presentation contains slides that cover the analysis of large data sets by principle component analysis.

Technical Details

Format: PowerPoint

Size: 1.2 MB

Requirements: Microsoft PowerPoint

[Access Presentation]

The answer key for the problem set can be obtained by completing the “Request Resource” form.

Technical Details

Format: PDF

Size: 151 kb

Requirements: Adobe Acrobat Reader

Limits for Use

Cost: Free

Rights: This material may be downloaded for noncommercial, course-teaching purposes only, provided credit to Science Signaling is included by listing the citation for the Teaching Resource.

Citation: N. R. Clark, A. Ma'ayan, Introduction to Statistical Methods to Analyze Large Data Sets: Principal Components Analysis. Sci Signal. 4, tr3 (2011).

© 2011 American Association for the Advancement of Science


To Advertise     Find Products


Science Signaling. ISSN 1937-9145 (online), 1945-0877 (print). Pre-2008: Science's STKE. ISSN 1525-8882