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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