PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Clusterv: a tool for assessing the reliability of clusters discovered in DNA microarray data
Giorgio Valentini
Bioinformatics Volume 22, Number 3, pp. 369-370, 2006.

This is the latest version of this eprint.

Abstract

Summary: We present a new R package for the assessment of the reliability of clusters discovered in high dimensional DNA microarray data. The package implements methods based on random projections that approximately preserve distances between examples in the projected subspaces. Availability: http://homes.dsi.unimi.it/~valenti/SW/clusterv/download/clusterv_1.0.tar.gz. Supplementary Information: http://homes.dsi.unimi.it/~valenti/SW/clusterv.

EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Computational, Information-Theoretic Learning with Statistics
Learning/Statistics & Optimisation
ID Code:2092
Deposited By:Giorgio Valentini
Deposited On:14 April 2006

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  • Clusterv: a tool for assessing the reliability of clusters discovered in DNA microarray data (deposited 14 April 2006) [Currently Displayed]