Pvclust: an R package for assessing the uncertainty in hierarchical clustering
Pvclust: an R package for assessing the uncertainty in hierarchical clustering
复制标题
DOI：
10.1093/bioinformatics/btl117
复制
发表时间：
2006-06-15
期刊：
影响因子：
5.8
通讯作者：
Shimodaira, H
中科院分区：
文献类型：
--
作者：
Suzuki, R;Shimodaira, H
Pvcloud是一个统计软件R的附加包，用于评估分层聚类分析中的不确定性。Pvclust可以轻松地用于一般统计问题，例如DNA微阵列分析，以执行聚类的自举分析，这在系统发育分析中很流行。Pvrna使用自举响应技术计算每个聚类的概率值（p值）。有两种类型的p值可用：近似无偏（Au）p值和自助概率（BP）值。多尺度bootstrap检验用于计算Au p值，其偏倚优于普通bootstrap检验计算的BP值。此外，并行计算选项可以极大地减少计算时间。
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.