View source: R/pseudotime_plotting.R
Draw heatmaps of gene clusters from output of 'smooth_and_cluster_genes'.
1 2 | heatmap_gene_clusters(dge, results_path, cluster_mod, smoothers,
gap_size = NULL, genes_use = NULL, genes_to_label = NULL)
|
dge |
Seurat object with raw data and pseudotime metadata used to train smoothers. If metadata 'simple_branch' is present, function is hardwired to look for "mTEC", "cTEC", "branchpoint", and "progenitor" and make a heatmap similar to figure 2 in http://dx.doi.org/10.1101/122531. |
results_path |
Where to save plots and files. |
cluster_mod |
K-means output with cluster labels for the genes in 'smoothers' and also with cluster centers. |
smoothers |
List of regression models for the genes in 'cluster_mod' and 'gene_stats'. |
gap_size |
White bars separating clusters are formed by adding fake genes. gap_size is how many fake genes per bar. |
genes_use |
Gene names or anything in 'AvailableData(dge)'. |
genes_to_label |
Subset of 'genes_use' to write tick labels for. |
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