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Challenges and Approaches to Statistical Design and Inference in High Dimensional Investigations

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dc.contributor.authorGadbury, G. L.en
dc.contributor.authorGarrett, Karen A.en
dc.contributor.authorAllison, D. B.en
dc.contributor.departmentSustainable Agriculture and Natural Resource Management (SANREM) Knowledgebaseen
dc.date.accessioned2016-04-19T19:44:58Zen
dc.date.available2016-04-19T19:44:58Zen
dc.date.issued2009en
dc.descriptionMetadata only recorden
dc.description.abstractPart II, Networks, Pathways, Statistical Issues, and Novel Computational Tools, includes this particular chapter on the unique statistical challenges and approaches relating to high-dimensional biological research. Permeating these challenges is the need to generate research conclusions that statisticians deem competent and biologists find useful.en
dc.description.notesCCRA-4 (Soil Metagenomics)en
dc.format.mimetypetext/plainen
dc.identifier3758en
dc.identifier.isbn978-1-60327-562-0en
dc.identifier.isbnE978-1-60327-563-7en
dc.identifier.issn1064-3745en
dc.identifier.issn1940-6029en
dc.identifier.urihttp://hdl.handle.net/10919/68083en
dc.language.isoen_USen
dc.publisherTotowa NJ: The Humana Press, Incen
dc.relation.ispartofIn Belostotsky, D.A. (ed.) Plant Systems Biology: Methods in Molecular Biology Series Vol. 553, 181-206en
dc.relation.urihttp://www.springer.com/humana+press/plant+biology/book/978-1-60327-562-0en
dc.relation.urihttp://www.springerlink.com/content/q03l2037687n6h32/#section=90394&page=1&locus=18en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectBiological assessmenten
dc.subjectBiotechnologyen
dc.subjectFdren
dc.subjectGenomicsen
dc.subjectHigh-dimensionalen
dc.subjectMicroarrayen
dc.subjectMultiple testingen
dc.subjectStatisticsen
dc.subjectEcosystemen
dc.titleChallenges and Approaches to Statistical Design and Inference in High Dimensional Investigationsen
dc.typeAbstracten
dc.type.dcmitypeTexten

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