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Human Boolean Implication Network

(Submitter supplied) Numerous gene expression datasets from diverse human tissue samples have been already deposited in the public domain. There have been several attempts to do large scale meta-analyses of all of these datasets. Most of these analyses summarize pairwise gene expression relationships using correlation, or identify differentially expressed genes in two conditions. We propose here a new large scale meta-analysis of all of the publicly available human datasets to identify Boolean logical relationships between genes. more...
Organism:
Homo sapiens
Type:
Expression profiling by array; Third-party reanalysis
Download data: TXT
Series
Accession:
GSE119087
ID:
200119087

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