Computational Learning Strategies for Assessing Modular Influences on Biological Phenotypes.

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dc.contributor.advisorCranos Williams, Chairen_US
dc.contributor.advisorEdward Grant, Memberen_US
dc.contributor.advisorWilliam Edmonson, Memberen_US
dc.contributor.advisorStephen Campbell, Minoren_US
dc.contributor.advisorWinser Alexander, Memberen_US
dc.contributor.authorDe Luis Balaguer, Maria Angelsen_US
dc.date.accepted2013-11-12en_US
dc.date.accessioned2013-11-13T10:30:13Z
dc.date.available2013-11-13T10:30:13Z
dc.date.defense2013-08-05en_US
dc.date.issued2013-08-05en_US
dc.date.released2013-11-13en_US
dc.date.reviewed2013-08-06en_US
dc.date.submitted2013-08-06en_US
dc.degree.disciplineElectrical Engineeringen_US
dc.degree.leveldissertationen_US
dc.degree.nameDoctor of Philosophyen_US
dc.identifier.otherdeg2862en_US
dc.identifier.urihttp://www.lib.ncsu.edu/resolver/1840.16/8998
dc.rightsen_US
dc.titleComputational Learning Strategies for Assessing Modular Influences on Biological Phenotypes.en_US

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