Journal
GENOME BIOLOGY
Volume 11, Issue 2, Pages -Publisher
BMC
DOI: 10.1186/gb-2010-11-2-r23
Keywords
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Funding
- NIH [HG004561, GM080625, RR022971, DA19362]
- NATIONAL CENTER FOR RESEARCH RESOURCES [R01RR022971] Funding Source: NIH RePORTER
- NATIONAL HUMAN GENOME RESEARCH INSTITUTE [U01HG004561] Funding Source: NIH RePORTER
- NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES [R01GM080625] Funding Source: NIH RePORTER
- NATIONAL INSTITUTE ON DRUG ABUSE [R01DA019362] Funding Source: NIH RePORTER
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One of the important challenges to post-genomic biology is relating observed phenotypic alterations to the underlying collective alterations in genes. Current inferential methods, however, invariably omit large bodies of information on the relationships between genes. We present a method that takes account of such information - expressed in terms of the topology of a correlation network - and we apply the method in the context of current procedures for gene set enrichment analysis.
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