A paradigm for class prediction using gene expression profiles.

Abstract excerpt

We propose a general framework for prediction of predefined tumor classes using gene expression profiles from microarray experiments. The framework consists of 1) evaluating the appropriateness of class prediction for the given data set, 2) selecting the prediction method, 3) performing cross-validated class prediction, and 4) assessing the significance of prediction results by permutation testing. We describe an...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Gene Expression Regulation, Neoplastic
• Share to Algorithms