CLUSFAVOR 5.0: hierarchical cluster and principal-component analysis of microarray-based transcriptional profiles

CLUSFAVOR (CLUSter and Factor Analysis with Varimax Orthogonal Rotation) 5.0 is a Windows-based computer program for hierarchical cluster and principal-component analysis of microarray-based transcriptional profiles. CLUSFAVOR 5.0 standardizes input data; sorts data according to gene-specific coeffi...

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Detalles Bibliográficos
Autor principal: Peterson, Leif E
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2002
Materias:
Software Report
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC139388/
https://www.ncbi.nlm.nih.gov/pubmed/12184816
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author Peterson, Leif E
author_facet Peterson, Leif E
author_sort Peterson, Leif E
collection PubMed
description CLUSFAVOR (CLUSter and Factor Analysis with Varimax Orthogonal Rotation) 5.0 is a Windows-based computer program for hierarchical cluster and principal-component analysis of microarray-based transcriptional profiles. CLUSFAVOR 5.0 standardizes input data; sorts data according to gene-specific coefficient of variation, standard deviation, average and total expression, and Shannon entropy; performs hierarchical cluster analysis using nearest-neighbor, unweighted pair-group method using arithmetic averages (UPGMA), or furthest-neighbor joining methods, and Euclidean, correlation, or jack-knife distances; and performs principal-component analysis.
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spelling pubmed-1393882003-03-04 CLUSFAVOR 5.0: hierarchical cluster and principal-component analysis of microarray-based transcriptional profiles Peterson, Leif E Genome Biol Software Report CLUSFAVOR (CLUSter and Factor Analysis with Varimax Orthogonal Rotation) 5.0 is a Windows-based computer program for hierarchical cluster and principal-component analysis of microarray-based transcriptional profiles. CLUSFAVOR 5.0 standardizes input data; sorts data according to gene-specific coefficient of variation, standard deviation, average and total expression, and Shannon entropy; performs hierarchical cluster analysis using nearest-neighbor, unweighted pair-group method using arithmetic averages (UPGMA), or furthest-neighbor joining methods, and Euclidean, correlation, or jack-knife distances; and performs principal-component analysis. BioMed Central 2002 2002-06-24 /pmc/articles/PMC139388/ /pubmed/12184816 Text en Copyright © 2002 Peterson, licensee BioMed Central Ltd
spellingShingle Software Report
Peterson, Leif E
CLUSFAVOR 5.0: hierarchical cluster and principal-component analysis of microarray-based transcriptional profiles
title CLUSFAVOR 5.0: hierarchical cluster and principal-component analysis of microarray-based transcriptional profiles
title_full CLUSFAVOR 5.0: hierarchical cluster and principal-component analysis of microarray-based transcriptional profiles
title_fullStr CLUSFAVOR 5.0: hierarchical cluster and principal-component analysis of microarray-based transcriptional profiles
title_full_unstemmed CLUSFAVOR 5.0: hierarchical cluster and principal-component analysis of microarray-based transcriptional profiles
title_short CLUSFAVOR 5.0: hierarchical cluster and principal-component analysis of microarray-based transcriptional profiles
title_sort clusfavor 5.0: hierarchical cluster and principal-component analysis of microarray-based transcriptional profiles
topic Software Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC139388/
https://www.ncbi.nlm.nih.gov/pubmed/12184816
work_keys_str_mv AT petersonleife clusfavor50hierarchicalclusterandprincipalcomponentanalysisofmicroarraybasedtranscriptionalprofiles

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