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.

AuthorAskar Obulkasim
Date of publicationNone
MaintainerAskar Obulkasim <askar703@gmail.com>
LicenseGPL (>= 2)
Version1.14.0

View on Bioconductor

Files in this package

HCsnip/DESCRIPTION
HCsnip/NAMESPACE
HCsnip/R
HCsnip/R/EnvioPlot.R HCsnip/R/HCsnipper.R HCsnip/R/RSF_eval.R HCsnip/R/TwoHC_assign.R HCsnip/R/TwoHC_perm.R HCsnip/R/cluster_pred.R HCsnip/R/measure.R HCsnip/R/perm_test.R HCsnip/R/private.R HCsnip/R/surv_measure.R
HCsnip/build
HCsnip/build/vignette.rds
HCsnip/data
HCsnip/data/BullingerLeukemia.rda
HCsnip/data/TcgaGBM.rda
HCsnip/data/datalist
HCsnip/inst
HCsnip/inst/doc
HCsnip/inst/doc/HCsnip.R
HCsnip/inst/doc/HCsnip.Rnw
HCsnip/inst/doc/HCsnip.pdf
HCsnip/man
HCsnip/man/BullingerLeukemia.Rd HCsnip/man/EnvioPlot.Rd HCsnip/man/HCsnip-package.Rd HCsnip/man/HCsnipper.Rd HCsnip/man/RSF_eval.Rd HCsnip/man/TcgaGBM.Rd HCsnip/man/TwoHC_assign.Rd HCsnip/man/TwoHC_perm.Rd HCsnip/man/cluster_pred.Rd HCsnip/man/measure.Rd HCsnip/man/perm_test.Rd HCsnip/man/surv_measure.Rd
HCsnip/vignettes
HCsnip/vignettes/HCsnip.Rnw
HCsnip/vignettes/Rank.pdf
HCsnip/vignettes/densityR.pdf
HCsnip/vignettes/entropy.pdf

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