Ossadtchi, Alex, Brown, Vanessa M., Khan, Arshad H., Cherry, Simon R., Nichols, Thomas E., Leahy, Richard M. and Smith, Desmond James. (2002) Statistical analysis of multiplex brain gene expression images. Neurochemical Research, Vol.27 (No.10). pp. 1113-1121. ISSN 03643190

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Abstract

Analysis 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.

Item Type:	Journal Article
Subjects:	Q Science > QA Mathematics Q Science > QH Natural history > QH426 Genetics Q Science > QP Physiology R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
Divisions:	Faculty of Science > Statistics
Library of Congress Subject Headings (LCSH):	Analysis of variance, Gene expression -- Statistical methods, Parkinson's disease -- Research, Parkinson's disease -- Animal models, Brain chemistry
Journal or Publication Title:	Neurochemical Research
Publisher:	Springer
ISSN:	03643190
Official Date:	2002
Volume:	Vol.27
Number:	No.10
Page Range:	pp. 1113-1121
Identification Number:	10.1023/A:1020965107124
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Restricted or Subscription Access
URI:	http://wrap.warwick.ac.uk/id/eprint/38239

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