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Title
Boosting for tumor classification with gene expression data.
Authors
Dettling, Marcel; Bühlmann, Peter
Abstract
Microarray experiments generate large datasets with expression values for thousands of genes but not more than a few dozens of samples. Accurate supervised classification of tissue samples in such high-dimensional problems is difficult but often crucial for successful diagnosis and treatment. A promising way to meet this challenge is by using boosting in conjunction with decision trees.