id sam1 sam2 sam3 sam4 gene1 33 23 88 98 gene2 0 0 99 95 gene3 77 100 44 65 gene4 0 0 0 0 gene5 100 100 100 100 : : gene20000 58 33 78 56
I have 20K genes (rows) and four samples (columns) which is given in percentage. Each gene is common to four samples. The hypothesis is, if any of gene has 100% in any of sample it is said to be present in that sample and if 0% it is absent. (For eg. gene3 is present in sample2 (sam2) and gene4 is absent in all samples.)
Since I have 20K genes, I would like to do clustering technique. Can I do biclustering and produce a heatmap? If so, please let me know how to do in R?