Functional Assignment of MicroRNAs via Enrichment

FAME is a software tool that uses computational target predictions in order to automatically infer the processes affected by human miRNAs. The approach improves upon standard statistical tools by addressing specific characteristics of miRNA regulation. The analysis is based on a novel compendium of experimentally verified miRNA-pathway and miRNA-process associations that we constructed.
FAME also predicts novel miRNA-regulated pathways, refines the annotation of miRNAs for which only crude functions are known, and assigns differential functions to miRNAs with closely related sequences.

FAME has been published as
Towards computational prediction of microRNA function and activity.
I. Ulitsky, L. C. Laurent and R. Shamir. Nucleic Acids Research , 113 doi:10.1093/nar/gkq570 (2010).

An implementation of FAME that can be applied to gene expression data or any gene set is available as part of EXPANDER


Supplementary website for

Towards Computational Prediction of MicroRNA Function and Activity

Igor Ulitsky1,*, Louise C. Laurent2,3 and Ron Shamir1


1 Blavatnik School of Computer Science, Tel Aviv University, Tel Aviv 69978, Israel.
2 Center for Regenerative Medicine, The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, California 92037, USA.
3 Department of Reproductive Medicine, University of California, San Diego, 200 West Arbor Drive, San Diego, California 92103, USA.
* Current address: Whitehead Institute for Biomedical Research, 9 Cambridge Center, Cambridge MA, USA 02142

To view predicted functions, select a miRNA family:

For questions, contact Igor Ulitsky