Aug 15, 2007 · In this paper, we have proposed to use the SVD-based probit transformation to improve the performance of the MG method for clustering gene ...
Aug 15, 2007 · Our numerical results show that the SVD-based probit transformation enhances the ability of the mixture-Gaussian model-based clustering method ...
Although the main theme of this paper is to show that the SVD-based probit transformation generally improves the performance of the MG method in clustering gene ...
SVD reduces the dimensionality of the data, and the probit transformation converts the scaled eigensamples, which can be interpreted as correlation coefficients ...
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SVD and PCA are common techniques for analysis of multivariate data, and gene expression data are well suited to analysis using SVD/PCA.
Missing: probit | Show results with:probit
The basic idea of this method is to use the SVD for dimensionality reduction and the probit transformation for the validity of normality assumption in the model ...
Use of SVD-based probit transformation in clustering gene expression profiles ... Our numerical results show that the SVD-based probit transformation ...
"Use of SVD-based probit transformation in clustering gene expression profiles," Computational Statistics & Data Analysis, Elsevier, vol. 51(12), pages 6355 ...
Nov 6, 2013 · Wiley. Liang, F., 2007. Use of svd-based probit transformation in clustering gene expression profiles. Computational Statistics & Data Analysis ...
Use of SVD-based probit transformation in clustering gene expression profiles · F. Liang. Biology, Computer Science. Comput. Stat. Data Anal. 2007. 20 Citations.