Ontology highlight
ABSTRACT:
SUBMITTER: Eichler GS
PROVIDER: S-EPMC2375025 | biostudies-literature | 2007
REPOSITORIES: biostudies-literature
Genome biology 20070101 9
Interpretation of microarray data remains a challenge, and most methods fail to consider the complex, nonlinear regulation of gene expression. To address that limitation, we introduce Learner of Functional Enrichment (LeFE), a statistical/machine learning algorithm based on Random Forest, and demonstrate it on several diverse datasets: smoker/never smoker, breast cancer classification, and cancer drug sensitivity. We also compare it with previously published algorithms, including Gene Set Enrich ...[more]