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Description

Robust Hierarchical Co-Clustering to Identify Significant Co-Cluster.

Here we performs robust hierarchical co-clustering between row and column entities of a data matrix in absence and presence of outlying observations. It can be used to explore important co-clusters consisting of important samples and their regulatory significant features. Please see Hasan, Badsha and Mollah (2020) <doi:10.1101/2020.05.13.094946>.
Metadata

Version

2.0.0

License

Unknown

Platforms (75)

    Darwin
    FreeBSD
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