High-Throughput GoMiner, an 'industrial-strength' integrative gene ontology tool for interpretation of multiple-microarray experiments, with application to studies of Common Variable Immune Deficiency (CVID).

Barry R Zeeberg; Haiying Qin; Sudarshan Narasimhan; Margot Sunshine; Hong Cao; David W Kane; Mark Reimers; Robert M Stephens; David Bryant; Stanley K Burt

doi:10.1186/1471-2105-6-168

High-Throughput GoMiner, an 'industrial-strength' integrative gene ontology tool for interpretation of multiple-microarray experiments, with application to studies of Common Variable Immune Deficiency (CVID).

Identifier:nobleid.org/w1/20260515/08C82BA5

Type:Journal Article

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High-Throughput GoMiner, an 'industrial-strength' integrative gene ontology tool for interpretation of multiple-microarray experiments, with application to studies of Common Variable Immune Deficiency (CVID).

Identifier:nobleid.org/w1/20260515/08C82BA5

Type:Journal Article

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