View source: R/supp_functions.R
plotCNV | R Documentation |
This function creates a heatmap using CNV data, where each row is a cell and reach column is a genomic feature. Cells can be clustered together hierarchically (if k_means ==0), or with k-means clustering
plotCNV( fc, k_means, k_means_cell_cut_off, gz, project, GC_Content = NULL, tad = NULL, target_t = NULL, hc_cluster = 6 )
fc |
Fold change matrix |
k_means |
Number of desired clusters k-means (hiearchical if 0) |
k_means_cell_cut_off |
minimum number of cells for a cluster to be seen |
gz |
chromosome length data, produced by seqlengths() |
project |
Name of project |
GC_Content |
GC content data. See GCplot |
tad |
tad data. See TADplot |
target_t |
On-target content data. See ATACplot |
hc_cluster |
number of hiearchical clusters |
creates heatmap and returns corresponding dataframe
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