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 Zeeberg, Haiying Qin, Sudarshan Narasimhan, Margot Sunshine, Hong Cao, David W. Kane, Mark Reimers, Robert M. Stephens, David Bryant, Stanley K. Burt, Eldad Elnekave, Danielle M. Hari, Thomas A. Wynn, Charlotte Cunningham-Rundles, Donn M. Stewart, David Nelson, John N. Weinstein. 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). BMC Bioinformatics, 6:168, 2005. [doi]

Authors

Barry Zeeberg

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Haiying Qin

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Sudarshan Narasimhan

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Margot Sunshine

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Hong Cao

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David W. Kane

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Mark Reimers

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Robert M. Stephens

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David Bryant

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Stanley K. Burt

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Eldad Elnekave

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Danielle M. Hari

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Thomas A. Wynn

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Charlotte Cunningham-Rundles

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Donn M. Stewart

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David Nelson

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John N. Weinstein

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