Mining for coexpression across hundreds of datasets using novel rank aggregation and visualization methods |
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Authors: | Priit Adler Raivo Kolde Meelis Kull Aleksandr Tkachenko Hedi Peterson Jüri Reimand Jaak Vilo |
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Affiliation: | 1. Institute of Molecular and Cell Biology, Riia 23, 51010, Tartu, Estonia 2. Institute of Computer Science, University of Tartu, Liivi 2-314, 50409, Tartu, Estonia 3. Quretec, ülikooli 6a, 51003, Tartu, Estonia
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Abstract: | We present a web resource MEM (Multi-Experiment Matrix) for gene expression similarity searches across many datasets. MEM features large collections of microarray datasets and utilizes rank aggregation to merge information from different datasets into a single global ordering with simultaneous statistical significance estimation. Unique features of MEM include automatic detection, characterization and visualization of datasets that includes the strongest coexpression patterns. MEM is freely available at . |
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