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


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Documentation for package ‘multiClust’ version 1.16.0

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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.