Use of Principal Component Analysis and the GE‐Biplot for the Graphical Exploration of Gene Expression Data
- 1 June 2005
- journal article
- editorial
- Published by Oxford University Press (OUP) in Biometrics
- Vol. 61 (2) , 630-632
- https://doi.org/10.1111/j.1541-0420.2005.00366.x
Abstract
This note is in response to Wouters et al. (2003, Biometrics 59, 1131-1139) 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 determine principal component analyses that are useful for exploratory analysis of microarray data. We also present another biplot representation, the GE-biplot (Gene Expression biplot), that is a useful method for exploring gene expression data with the major advantage of being able to aid interpretation of both the samples and the genes relative to each other.Keywords
This publication has 3 references indexed in Scilit:
- Graphical Exploration of Gene Expression Data: A Comparative Study of Three Multivariate MethodsBiometrics, 2003
- Visualisation of Gene Expression Data - the GE-biplot, the Chip-plot and the Gene-plotStatistical Applications in Genetics and Molecular Biology, 2003
- Molecular Classification of Cancer: Class Discovery and Class Prediction by Gene Expression MonitoringScience, 1999