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Open AccessJournal ArticleDOI

Pvclust: an R package for assessing the uncertainty in hierarchical clustering

Ryota Suzuki, +1 more
- 15 Jun 2006 - 
- Vol. 22, Iss: 12, pp 1540-1542
TLDR
Pvclust is an add-on package for a statistical software R to assess the uncertainty in hierarchical cluster analysis to perform the bootstrap analysis of clustering, which has been popular in phylogenetic analysis.
Abstract
Summary: Pvclust is an add-on package for a statistical software R to assess the uncertainty in hierarchical cluster analysis. Pvclust can be used easily for general statistical problems, such as DNA microarray analysis, to perform the bootstrap analysis of clustering, which has been popular in phylogenetic analysis. Pvclust calculates probability values (p-values) for each cluster using bootstrap resampling techniques. Two types of p-values are available: approximately unbiased (AU) p-value and bootstrap probability (BP) value. Multiscale bootstrap resampling is used for the calculation of AU p-value, which has superiority in bias over BP value calculated by the ordinary bootstrap resampling. In addition the computation time can be enormously decreased with parallel computing option. Availability: The program is freely distributed under GNU General Public License (GPL) and can directly be installed from CRAN (http://cran.r-project.org/), the official R package archive. The instruction and program source code are available at http://www.is.titech.ac.jp/~shimo/prog/pvclust Contact: ryota.suzuki@is.titech.ac.jp

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References
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Journal ArticleDOI

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TL;DR: The recently‐developed statistical method known as the “bootstrap” can be used to place confidence intervals on phylogenies and shows significant evidence for a group if it is defined by three or more characters.
Journal ArticleDOI

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TL;DR: In this article, the authors discuss the problem of estimating the sampling distribution of a pre-specified random variable R(X, F) on the basis of the observed data x.
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An Approximately Unbiased Test of Phylogenetic Tree Selection

TL;DR: It is shown that the AU test is less biased than other methods in typical cases of tree selection, as well as in the analysis of mammalian mitochondrial protein sequences.
Journal ArticleDOI

CONSEL: for assessing the confidence of phylogenetic tree selection

TL;DR: UNLABELLED CONSEL is a program to assess the confidence of the tree selection by giving the p-values for the trees using the multi-scale bootstrap technique, which is less biased than the other conventional p- values.
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