Mining for coexpression across hundreds of datasets using novel rank aggregation and visualization methods
作者： Priit Adler , Raivo Kolde , Meelis Kull , Aleksandr Tkachenko , Hedi Peterson
DOI: 10.1186/GB-2009-10-12-R139
关键词:
摘要: We present a web resource MEM (Multi-Experiment Matrix) for gene expression similarity searches across many datasets. features large collections of microarray datasets and utilizes rank aggregation to merge information from different into single global ordering with simultaneous statistical significance estimation. Unique include automatic detection, characterization visualization that includes the strongest coexpression patterns. is freely available at http://biit.cs.ut.ee/mem/.
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