multiClust: An R-package for Identifying Biologically Relevant Clusters in Cancer Transcriptome Profiles

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Documentation for package ‘multiClust’ version 1.36.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

avg_probe_exp	Function to produce a matrix containing the average expression of each gene probe within each sample cluster.
cluster_analysis	Function to perform Kmeans or Hierarchical clustering analysis of the selected gene probe expression data.
input_file	Function to read-in the gene expression file and assign gene probe names as the rownames.
nor.min.max	Function to normalize data to bring values into alignment. This function uses feature scaling to normalize values in a dataset between 0 and 1.
number_clusters	Function to determine the number of clusters to be used to cluster gene probes and samples.
number_probes	Function to determine the number of gene probes to select for in the gene feature selection process.
probe_ranking	Function to select for genes using one of the available gene probe ranking options.
surv_analysis	Function to produce Kaplan-Meier Survival Plots of selected gene expression data.
WriteMatrixToFile	Function to write a data matrix to a text file.