how can I manually cluster with EnrichedHeatMap?

[Yuxinagli]

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

[jokergoo]

If you have a vector which contains the categories of genes (e.g. gene_category), you can assign it to the row_split argument:

EnrichedHeatmap(..., row_split = gene_category)