Mining for coexpression across hundreds of datasets using novel rank aggregation and visualization methods

作者：Adler Priit; Kolde Raivo; Kull Meelis; Tkachenko Aleksandr; Peterson Hedi; Reimand Jueri; Vilo Jaak^*

来源：Genome Biology, 2009, 10(12): R139.

DOI：10.1186/gb-2009-10-12-r139

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 http://biit.cs.ut.ee/mem/.

• 出版日期2009