Article ID Journal Published Year Pages File Type
1180818 Chemometrics and Intelligent Laboratory Systems 2006 5 Pages PDF
Abstract
Discriminant partial least squares regression is used for classifying two leukaemia subtypes. Clusters from a hierarchical clustering are tested for significance by jack-knife. Cross model validation is used both to detect the optimal partitioning of genes and to validate the feature selection. A predictive model based on 24 out of 500 initial clusters proved to outperform a model based on single genes for the presented data. Some of the selected clusters were shown to be biologically meaningful, others may give clues to functional relationships.
Related Topics
Physical Sciences and Engineering Chemistry Analytical Chemistry
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