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 , 1–13 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
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