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Use of principal component analysis and the $GE$-biplot for the graphical exploration of gene expression data.

Date

Authors

Pittelkow, Yvonne

Wilson, Susan

Publisher

International Biometrics Society

Abstract

This note is in response to Wouters at al. (2003. Biometrics 59, 1131-1130) who compared three methods for exploring gene expression data. Contrary to their summary that principal component analysis is not very informative, we show that it is possible to

Keywords

Keywords: gene expression; principal component analysis; bioinformatics; calculation; data analysis; gene expression; principal component analysis; review; Algorithms; Computational Biology; Data Interpretation, Statistical; Gene Expression; Models, Genetic; Models Bioinformatics; Biplot; Data visualization; GE-biplot; Gene expression data; Microarray data; Multivariate exploratory data analysis; Principal component analysis; SVD

URI

http://hdl.handle.net/1885/79862

Collections

ANU Research Publications

Source

Biometrics

Type

Journal article

DOI

10.1111/j.1541-0420.2005.00366.x

Restricted until

2037-12-31

Downloads

File

Description

01_Pittelkow_Use_of_principal_component_2005.pdf (583.78 KB)