View source: R/EnrichedHeatmap.R
EnrichedHeatmap | R Documentation |
Constructor Method for the Enriched Heatmap
EnrichedHeatmap(mat,
col,
top_annotation = HeatmapAnnotation(enriched = anno_enriched()),
row_order = order(enriched_score(mat), decreasing = TRUE),
pos_line = TRUE,
pos_line_gp = gpar(lty = 2),
axis_name = NULL,
axis_name_rot = 0,
axis_name_gp = gpar(fontsize = 10),
border = TRUE,
cluster_rows = FALSE,
row_dend_reorder = -enriched_score(mat),
show_row_dend = FALSE,
show_row_names = FALSE,
heatmap_legend_param = list(),
...)
mat |
A matrix which is returned by |
col |
Color settings. If the signals are categorical, color should be a vector with category levels as names. |
top_annotation |
A special annotation which is always put on top of the enriched heatmap and is constructed by |
row_order |
Row order. Default rows are ordered by enriched scores calculated from |
pos_line |
Whether draw vertical lines which represent the positions of |
pos_line_gp |
Graphic parameters for the position lines. |
axis_name |
Names for axis which is below the heatmap. If the targets are single points, |
axis_name_rot |
Rotation for axis names. |
axis_name_gp |
Graphic parameters for axis names. |
border |
Whether show the border of the heatmap? |
cluster_rows |
Clustering on rows are turned off by default. |
show_row_dend |
Whether show dendrograms on rows if hierarchical clustering is applied on rows? |
row_dend_reorder |
Weight for reordering the row dendrogram. It is reordered by enriched scores by default. |
show_row_names |
Whether show row names? |
heatmap_legend_param |
A list of settings for heatmap legends. |
... |
Other arguments passed to |
The enriched heatmap is essentially a normal heatmap but with several special settings. Following parameters are set with pre-defined values:
cluster_columns
enforced to be FALSE
show_column_names
enforced to be FALSE
bottom_annotation
enforced to be NULL
EnrichedHeatmap
calls Heatmap
, thus, most of the
arguments in Heatmap
are usable in EnrichedHeatmap
such as
to apply clustering on rows, or to split rows by a data frame or k-means clustering. Users can also
add more than one heatmaps by +
operator. Enriched heatmaps and normal heatmaps can be
concatenated mixed.
For detailed demonstration, please go to the vignette.
A Heatmap-class
object.
Zuguang Gu <z.gu@dkfz.de>
load(system.file("extdata", "chr21_test_data.RData", package = "EnrichedHeatmap"))
mat3 = normalizeToMatrix(meth, cgi, value_column = "meth", mean_mode = "absolute",
extend = 5000, w = 50, smooth = TRUE)
EnrichedHeatmap(mat3, name = "methylation", column_title = "methylation near CGI")
EnrichedHeatmap(mat3, name = "meth1") + EnrichedHeatmap(mat3, name = "meth2")
# for more examples, please go to the vignette
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