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hierBipartite

Bipartite graph-based approach for clustering by gene-drug associations

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Install

install.packages('hierBipartite')

Monthly Downloads

204

Version

0.0.2

License

MIT + file LICENSE

Maintainer

Calvin Chi

Last Published

February 16th, 2021

Functions in hierBipartite (0.0.2)

scca

Sparse canonical covariance analysis
scale_features

Only scales features (columns) with positive variance
hierBipartite

Bipartite Graph-based Hierarchical Clustering
getSignificantMergedGroups

Select Significant Results from 'HierBipartite'
newMergedGroup

Given group indices for a merge from hclust merge matrix, return group names of merged cluster
constructBipartiteGraph

Construct Bipartite Graph Edge Weight Matrix of Gene-drug Association Patterns
matrixDissimilarity

Matrix dissimilarity
p_value

P-value of Similarity in Gene-drug Associations
null_distri

Null distribution of dissimilarity measures
ctrp2

Processed Cancer Cell Line Encyclopedia (CCLE) and Cancer Therapeutics Response Portal (CTRP2) Dataset
getMergeGroupRows

Given index from hclust merge matrix, return X, Y row indices corresponding to groups specified by index