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Multivariate Methods for the Analysis of Microarray Gene-Expression Data with Applications to Cancer Diagnostics

Title
Multivariate Methods for the Analysis of Microarray Gene-Expression Data with Applications to Cancer Diagnostics
Funding
ARC | Discovery Projects
Contract (GA) number
DP0772887
Start Date
2007/01/01
End Date
2011/12/31
Open Access mandate
no
Organizations
-
More information
http://purl.org/au-research/grants/arc/DP0772887

 

  • Clustering of time-course gene expression profiles using normal mixture models with AR(1) random effects

    Time-course gene expression data such as yeast cell cycle data may be periodically expressed. To cluster such data, currently used Fourier series approximations of periodic gene expressions have been found not to be sufficiently adequate to model the complexity of the time-course data, partly due to their ignoring the dependence between the expression measurements over time and the correlation among gene expression profiles. We further investigate the advantages and limitations of available m...
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