Mining for coexpression across hundreds of datasets using novel rank aggregation and visualization m...
Mining for coexpression across hundreds of datasets using novel rank aggregation and visualization methods
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Publisher
England: BioMed Central Ltd
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Language
English
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Publisher
England: BioMed Central Ltd
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Scope and Contents
Contents
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/....
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Full title
Mining for coexpression across hundreds of datasets using novel rank aggregation and visualization methods
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TN_cdi_proquest_miscellaneous_733935312
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_733935312
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ISSN
1474-760X
E-ISSN
1474-760X
DOI
10.1186/gb-2009-10-12-r139
