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

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Documentation for package ‘HCsnip’ version 1.0.0

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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'