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Introduction
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A Tutorial on PCA
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A Tutorial on PCA
Contents
Introduction
Purpose
Prerequisites
CompClust Background
Principal Components Analysis (PCA) Background
Interpreting Principal Components
Data Preparation
Import the necessary software
Load a dataset
Attach dataset's labelings
Construct a PCAGinsu object
Review principal component outliers using TK graphics
View outlier scatter plot
View outlier trajectory plots
Review principal component outliers using matplotlib graphics
View outlier scatter plot
View outlier trajectory plots
List a principal component's outliers and significant conditions
View outlier list
View significant condition list
Look for condition covariates that correlate with condition partitions
Performing batch PCA interpretation
Further Information
Publication: Mining Gene Expression Data by Interpreting Principal Components
The CompClust Python Package
Other CompClust Tutorials
Acknowledgements
Bibliography
Brandon King 2005-07-29