METHODS OF PROCESSING BIOLOGICAL DATA

摘要

The present invention relates to methods useful for processing large amounts of high-dimensional biological data, such as that provided by microarray analysis of gene expression. The methods are useful for providing rules applicable to the classification, diagnosis and prognosis of diseases such as cancer. The inventive methods implement iterative decision trees to process the training data and generate the rules. However, unlike the prior art methods the methods described avoid the use of bootstrap data and considers substantially the entire training data set at each iteration of the decision tree generation process.