New feature subset selection procedures for classification of expression profiles

摘要: Background Methods for extracting useful information from the datasets produced by microarray experiments are at present of much interest. Here we new methods finding gene sets that well suited distinguishing experiment classes, such as healthy versus diseased tissues. Our based on evaluating genes in pairs and how a pair combination distinguishes two classes. We tested ability our pair-based to select generalize differences between classes compared performance relative standard methods. To assess class differences, studied learning classifier.