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The DAVID Gene Functional Classification Tool: a novel biological module-centric algorithm to functionally analyze large gene lists |
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| Authors: | Da Wei Huang Brad T Sherman Qina Tan Jack R Collins W Gregory Alvord Jean Roayaei Robert Stephens Michael W Baseler H Clifford Lane Richard A Lempicki |
| Institution: | (1) Laboratory of Immunopathogenesis and Bioinformatics, Clinical Services Program, SAIC-Frederick, Inc., National Cancer Institute at Frederick, Frederick, MD 21702, USA;(2) Advanced Biomedical Computing Center, SAIC-Frederick, Inc., National Cancer Institute at Frederick, Frederick, MD 21702, USA;(3) Computer and Statistical Services, Data Management Services, National Cancer Institute at Frederick, Frederick, MD 21702, USA;(4) Clinical Services Program, SAIC-Frederick, Inc., National Cancer Institute at Frederick, Frederick, MD 21702, USA;(5) Laboratory of Immunoregulation, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA |
| Abstract: | The DAVID Gene Functional Classification Tool uses a novel agglomeration algorithm to condense a list of genes or associated biological terms into organized classes of related genes or biology, called biological modules. This organization is accomplished by mining the complex biological co-occurrences found in multiple sources of functional annotation. It is a powerful method to group functionally related genes and terms into a manageable number of biological modules for efficient interpretation of gene lists in a network context. |
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