Predicting phenotypes from microarrays using amplified, initially marginal, eigenvector regression.

Abstract excerpt

MOTIVATION: The discovery of relationships between gene expression measurements and phenotypic responses is hampered by both computational and statistical impediments. Conventional statistical methods are less than ideal because they either fail to select relevant genes, predict poorly, ignore the unknown interaction structure between genes, or are computationally intractable. Thus, the creation of new methods...

Topics

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

• Share to Computational Biology
• Share to Gene Expression Profiling
• Share to Lymphoma, B-Cell