| UnSuperClassifier {AutoPipe} | R Documentation |
Unsupervised Clustering
Description
A function for unsupervised Clustering of the data
Usage
UnSuperClassifier(data,clinical_data=NULL,thr=2,TOP_Cluster=150,TOP=100)
Arguments
data |
the data for the clustering. Data should be in the following format: samples in columns and the genes in the rows (colnames and rownames accordingly). The rownames should be Entrez ID in order to plot a gene set enrichment analysis. |
clinical_data |
the clinical data provided by the user to plot under the heatmap. it will be plotted only if show_clin is TRUE. Default value is NULL. see details for format. |
thr |
The threshold for the PAMR algorithm default is 2. |
TOP_Cluster |
numeric; Number of genes in each cluster. |
TOP |
numeric; the number of the TOP genes to take from the gene exoression matrix see TopPAM TOP. |
Details
sample data should be a data.frame with the sample names as rownames and the clinical triats as columns. each trait must be a numeric variable. @return the function is an autated Pipeline for clustering it plot cluster analysis for the geneset