Statistical analysis of multiplex brain gene expression images

Alex Ossadtchi, Vanessa M. Brown, Arshad H. Khan, Simon R Cherry, Thomas E. Nichols, Richard M. Leahy, Desmond J. Smith

Research output: Contribution to journalArticle

4 Citations (Scopus)

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.

Original languageEnglish (US)
Pages (from-to)1113-1121
Number of pages9
JournalNeurochemical Research
Volume27
Issue number10
DOIs
StatePublished - Oct 1 2002

Fingerprint

Analysis of variance (ANOVA)
Gene expression
Brain
Statistical methods
Analysis of Variance
Gene Expression
Gene Expression Profiling
Singular value decomposition
Nonparametric Statistics
Set theory
Imaging systems
Parkinson Disease
Genes
Throughput
Statistics
Pharmacology

Keywords

  • ANOVA
  • Microarray
  • Mouse
  • Parkinson's disease
  • Singular value decomposition
  • Voxelation

ASJC Scopus subject areas

  • Neuroscience(all)
  • Biochemistry

Cite this

Ossadtchi, A., Brown, V. M., Khan, A. H., Cherry, S. R., Nichols, T. E., Leahy, R. M., & Smith, D. J. (2002). Statistical analysis of multiplex brain gene expression images. Neurochemical Research, 27(10), 1113-1121. https://doi.org/10.1023/A:1020965107124

Statistical analysis of multiplex brain gene expression images. / Ossadtchi, Alex; Brown, Vanessa M.; Khan, Arshad H.; Cherry, Simon R; Nichols, Thomas E.; Leahy, Richard M.; Smith, Desmond J.

In: Neurochemical Research, Vol. 27, No. 10, 01.10.2002, p. 1113-1121.

Research output: Contribution to journalArticle

Ossadtchi, A, Brown, VM, Khan, AH, Cherry, SR, Nichols, TE, Leahy, RM & Smith, DJ 2002, 'Statistical analysis of multiplex brain gene expression images', Neurochemical Research, vol. 27, no. 10, pp. 1113-1121. https://doi.org/10.1023/A:1020965107124
Ossadtchi A, Brown VM, Khan AH, Cherry SR, Nichols TE, Leahy RM et al. Statistical analysis of multiplex brain gene expression images. Neurochemical Research. 2002 Oct 1;27(10):1113-1121. https://doi.org/10.1023/A:1020965107124
Ossadtchi, Alex ; Brown, Vanessa M. ; Khan, Arshad H. ; Cherry, Simon R ; Nichols, Thomas E. ; Leahy, Richard M. ; Smith, Desmond J. / Statistical analysis of multiplex brain gene expression images. In: Neurochemical Research. 2002 ; Vol. 27, No. 10. pp. 1113-1121.
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