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yaConsensus (version 1.1)

Consensus Clustering of Omic Data

Description

Procedures to perform consensus clustering starting from a dissimilarity matrix or a data matrix. It's allowed to select if the subsampling has to be by samples or features. In case of computational heavy load, the procedures can run in parallel.

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Install

install.packages('yaConsensus')

Monthly Downloads

265

Version

1.1

License

MIT + file LICENSE

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Maintainer

Stefano M Pagnotta

Last Published

April 2nd, 2025

Functions in yaConsensus (1.1)

monti

Compute and display the Monti's statistics for class discovery.
yaConsensus

yaConsensus computes a number of hierarchical clusterings by sampling either samples or features.
plot.yaConsensus

Plot the consensus dissimilarity matrix and provide the consensus clustering.
consensus.diss

Computes the consensus dissimilarity matrix.