Description Usage Arguments Value Examples
plot_mean_exprs_heatmap() plots a heatmap showing the mean expression of a gene in a monocle CellDataSet object.
1 2 3 4 5 6 7 | plot_mean_exprs_heatmap(genes, cds, group, scale_method = NULL,
cluster_groups = F, order_subgroups = F,
cluster_groups_distance = "euclidean",
cluster_groups_method = "complete", cluster_genes = F,
cluster_genes_vector = NULL, cluster_genes_distance = "correlation",
cluster_genes_method = "complete", color_scale = c("midnightblue",
"gold", "grey50"), limits = NULL, square_tiles = T)
|
genes |
a vector of gene name(s) to plot e.g. c("Actb", "Aldoa") |
cds |
a monocle CellDataSet object |
group |
column name in pData(cds) to group the bar plots by on the horizontal axis. |
scale_method |
scaling to be done for each gene; possible values are "z-score" and "rescale"; "z-score" scales the values to the z-scores; "rescale" scales the values to have a minimum of 0 and maximum of 1. |
cluster_groups |
logical; if groups should be clustered. |
order_subgroups |
logical; if subgroups should be ordered according to clustering of first subgroup. Subgroups can be specified in a string with separation by " - ". |
cluster_groups_distance |
distance measure used in clustering groups. Possible values are "correlation", "euclidean", "maximum", "manhattan", "canberra", "binary", or "minkowski" (defined in dist() function.) |
cluster_groups_method |
clustering method used for groups. Accepts the same values as hclust: "ward.D", "ward.D2", "single", "complete", "average" (=UPGMA), "mcquitty" (=WPGMA), "median" (=WPGMC) or "centroid" (=UPGMC). |
cluster_genes |
logical; if genes should be clustered. If TRUE, genes with zero sd will be removed. |
cluster_genes_vector |
a vector specifying the order of genes. If NULL, genes will be clustered according to distance and method specified below. |
cluster_genes_distance |
distance measure used in clustering genes. Possible values are the same as cluster_groups_distance(). |
cluster_genes_method |
clustering method used for genes. Possible values are the same as cluster_groups_method(). |
color_scale |
color scale vector for heatmap of length 3 for low, high, and na values respectively; if null, limits of color scale will be determined by the squish() function |
limits |
limits of the color scale for the heatmap. |
square_tiles |
logical; if tiles should be made square |
a ggplot object
1 | plot_mean_exprs_heatmap(c("Actb","Aldoa"), cds=dat)
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