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Statistical Analysis of Multiplex Brain Gene Expression Images

dc.contributor.authorOssadtchi, Alexen_US
dc.contributor.authorKhan, Arshad H.en_US
dc.contributor.authorLeahy, Richard M.en_US
dc.contributor.authorSmith, Desmond J.en_US
dc.contributor.authorCherry, Simon R.en_US
dc.contributor.authorNichols, Thomas E.en_US
dc.contributor.authorBrown, Vanessa M.en_US
dc.date.accessioned2006-09-11T16:02:32Z
dc.date.available2006-09-11T16:02:32Z
dc.date.issued2002-10en_US
dc.identifier.citationOssadtchi, Alex; Brown, Vanessa M.; Khan, Arshad H.; Cherry, Simon R.; Nichols, Thomas E.; Leahy, Richard M.; Smith, Desmond J.; (2002). "Statistical Analysis of Multiplex Brain Gene Expression Images." Neurochemical Research 27(10): 1113-1121. <http://hdl.handle.net/2027.42/45422>en_US
dc.identifier.issn1573-6903en_US
dc.identifier.issn0364-3190en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/45422
dc.identifier.urihttp://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=12462409&dopt=citationen_US
dc.description.abstractAnalysis of variance (ANOVA) was employed to investigate 9,000 gene expression patterns from brains of both normal mice and mice with a pharmacological model of Parkinson's disease (PD). The data set was obtained using voxelation, a method that allows high-throughput acquisition of 3D gene expression patterns through analysis of spatially registered voxels (cubes). This method produces multiple volumetric maps of gene expression analogous to the images reconstructed in biomedical imaging systems. The ANOVA model was compared to the results from singular value decomposition (SVD) by using the first 42 singular vectors of the data matrix, a number equal to the rank of the ANOVA model. The ANOVA was also compared to the results from non-parametric statistics. Lastly, images were obtained for a subset of genes that emerged from the ANOVA as significant. The results suggest that ANOVA will be a valuable framework for insights into the large number of gene expression patterns obtained from voxelation.en_US
dc.format.extent14078698 bytes
dc.format.extent3115 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherKluwer Academic Publishers-Plenum Publishers; Plenum Publishing Corporation ; Springer Science+Business Mediaen_US
dc.subject.otherNeurosciencesen_US
dc.subject.otherBiochemistry, Generalen_US
dc.subject.otherBiomedicineen_US
dc.subject.otherNeurologyen_US
dc.subject.otherANOVAen_US
dc.subject.otherMouseen_US
dc.subject.otherParkinson's Diseaseen_US
dc.subject.otherSingular Value Decompositionen_US
dc.subject.otherVoxelationen_US
dc.subject.otherMicroarrayen_US
dc.titleStatistical Analysis of Multiplex Brain Gene Expression Imagesen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelPublic Healthen_US
dc.subject.hlbsecondlevelPsychologyen_US
dc.subject.hlbsecondlevelNeurosciencesen_US
dc.subject.hlbsecondlevelMolecular, Cellular and Developmental Biologyen_US
dc.subject.hlbsecondlevelInternal Medicine and Specialtiesen_US
dc.subject.hlbsecondlevelBiological Chemistryen_US
dc.subject.hlbtoplevelSocial Sciencesen_US
dc.subject.hlbtoplevelScienceen_US
dc.subject.hlbtoplevelHealth Sciencesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI, 48109en_US
dc.contributor.affiliationotherDepartment of Molecular and Medical Pharmacology, School of Medicine, University of California, Los Angeles, CA, 90095; Crump Institute for Molecular Imaging, School of Medicine, University of California, Los Angeles, CA, 90095en_US
dc.contributor.affiliationotherDepartment of Electrical Engineering, Signal and Image Processing Institute, School of Engineering, University of Southern California, Los Angeles, CA, 90089en_US
dc.contributor.affiliationotherDepartment of Molecular and Medical Pharmacology, School of Medicine, University of California, Los Angeles, CA, 90095; Crump Institute for Molecular Imaging, School of Medicine, University of California, Los Angeles, CA, 90095en_US
dc.contributor.affiliationotherDepartment of Molecular and Medical Pharmacology, School of Medicine, University of California, Los Angeles, CA, 90095; Crump Institute for Molecular Imaging, School of Medicine, University of California, Los Angeles, CA, 90095en_US
dc.contributor.affiliationotherDepartment of Biomedical Engineering, College of Engineering, University of California, Davis, CA, 95616en_US
dc.contributor.affiliationotherDepartment of Electrical Engineering, Signal and Image Processing Institute, School of Engineering, University of Southern California, Los Angeles, CA, 90089en_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.identifier.pmid12462409en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/45422/1/11064_2004_Article_454311.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1023/A:1020965107124en_US
dc.identifier.sourceNeurochemical Researchen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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