HCsnip: Semi-supervised adaptive-height snipping of the Hierarchical Clustering tree

Decompose given hierarchical clustering tree into non-overlapping clusters in a semi-supervised way by using available patients follow-up information as guidance. Contains functions for snipping HC tree, various cluster quality evaluation criteria, assigning new patients to one of the two given HC trees, testing the significance of clusters with permutation argument and clusters visualization using sample's molecular entropy.

Package details

AuthorAskar Obulkasim
Bioconductor views Clustering GeneExpression Microarray aCGH
MaintainerAskar Obulkasim <askar703@gmail.com>
LicenseGPL (>= 2)
Package repositoryView on Bioconductor
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HCsnip documentation built on Nov. 17, 2017, 11:17 a.m.