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Funding for the MeV Project
The MeV project is currently funded by
The National Library of Medicine
The Dana-Farber Cancer Institute High Tech Fund
The Claudia Adams Barr Program
MeV is part of the TM4 Microarray Software Suite. Please reference MeV by citing
MeV is a desktop application for the analysis, visualization and data-mining of large-scale genomic data. It is a versatile microarray tool, incorporating sophisticated algorithms for clustering, visualization, classification, statistical analysis and biological theme discovery. Thousands of biologists have downloaded and used MeV to examine their data with an easy-to-use, graphical interface.
Nested EASE (nEASE) is an extension of EASE. The nEASE algorithm includes a second, sub-level, iterative Fisher’s Exact Test on significantly enriched GO terms identified in a first-level EASE analysis. This sub-classification approach provides increased sensitivity for detecting enriched GO terms and thus affords a deeper understanding of possible mechanisms underlying a given condition under study. nEASE was added to MeV as a new feature for version 4.5.