mdbahadur/rhcoclust: 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>.

install.packages("remotes")
remotes::install_github("mdbahadur/rhcoclust")