# Semi-supervised adaptive-height snipping of the Hierarchical Clustering tree

## Documentation for package ‘HCsnip’ version 1.2.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

HCsnip-package | Semi-supervised adaptive-height snipping of the Hierarchical Clustering tree
BullingerLeukemia | Leukemia data
cluster_pred | Semi-supervised clustering
EnvioPlot | Visualize cluster's molecular entropy by violin plot
HCsnipper | HC tree snipper
measure | Evaluate cluster quality
perm_test | A function to select an optimal partition (clustering) from large number of candidates and calculate the _p_-value for it.
RSF_eval | Function to calculate error rate using the Random Survival Forest
surv_measure | Cluster quality evaluation using follow-up data
TcgaGBM | Glioblastoma multiforme gene expression data
TwoHC_assign | Function to assign new samples to one of the two given hierarchical clustering trees in a semi-supervised way
TwoHC_perm | Function to assess the significance of group assignmetn from 'TwoHC_assign'