Hi Dr Gu,
I am trying to comparing ChIPseq Enrichment of different subset of Genes which chosen based on RNAseq data. Is there anyway I can manually cluster these genes in different clusters rather than using K-means method.
The example presented on Bioconductor.org 'EnrichedHeatmap(mat1, col = col_fun, name = "H3K4me3",
row_split = sample(c("A", "B"), length(genes), replace = TRUE),
column_title = "Enrichment of H3K4me3") ' is based on random sampling which is not suitable for my need.
Thanks
Hi Dr Gu, I am trying to comparing ChIPseq Enrichment of different subset of Genes which chosen based on RNAseq data. Is there anyway I can manually cluster these genes in different clusters rather than using K-means method. The example presented on Bioconductor.org 'EnrichedHeatmap(mat1, col = col_fun, name = "H3K4me3", row_split = sample(c("A", "B"), length(genes), replace = TRUE), column_title = "Enrichment of H3K4me3") ' is based on random sampling which is not suitable for my need. Thanks