plotPairwiseDEGHeatmap: Create heatmap for pairwise DEG analysis result

In rliger: Linked Inference of Genomic Experimental Relationships

Create heatmap for pairwise DEG analysis result

Description

Create heatmap for pairwise DEG analysis result

Usage

plotPairwiseDEGHeatmap(
  object,
  result,
  group = NULL,
  topN = 20,
  absLFCThresh = 1,
  padjThresh = 0.05,
  pctInThresh = 50,
  pctOutThresh = 50,
  downsampleSize = 200,
  useCellMeta = NULL,
  column_title = NULL,
  seed = 1,
  ...
)

Arguments

object	A liger object, with normalized data and metadata to annotate available.
result	The data.frame returned by runPairwiseDEG.
group	The test group name among the result to be shown. Must specify only one if multiple tests are available (i.e. split test). Default NULL works with single-test result and raises error with split-test result.
topN	Maximum number of top significant features to be plot for up- and down-regulated genes. Default 20.
absLFCThresh	Hard threshold on absolute logFC value. Default 1.
padjThresh	Hard threshold on adjusted P-value. Default 0.05.
pctInThresh, pctOutThresh	Threshold on expression percentage. These mean that a feature will only pass the filter if it is expressed in more than pctInThresh percent of cells in the corresponding cluster. Similarly for pctOutThresh. Only applied when these metrics are available. Default 50 percent for both.
downsampleSize	Maximum number of downsampled cells to be shown in the heatmap. The downsampling is balanced on the cells involved in the test specified. Default 200.
useCellMeta	Cell metadata variable names for cell grouping. Default NULL includes dataset source and the default cluster.
column_title	Title on the column. Default NULL.
seed	Random seed for reproducibility. Default 1.
...	Arguments passed on to .plotHeatmap transpose Logical, whether to "rotate" the heatmap by 90 degrees so that cell information is displayed by row. Default FALSE. showCellLabel,showFeatureLabel Logical, whether to show cell barcodes, gene symbols or factor names. Default TRUE for gene/factors but FALSE for cells. cellAnnColList,featureAnnColList List object, with each element a named vector of R-interpretable color code. The names of the list elements are used for matching the annotation variable names. The names of the colors in the vectors are used for matching the levels of a variable (factor object, categorical). Default NULL generates ggplot-flavor categorical colors. scale Logical, whether to take z-score to scale and center gene expression. Applied after dataScaleFunc. Default FALSE. trim Numeric vector of two values. Limit the z-score value into this range when scale = TRUE. Default c(-2, 2). baseSize One-parameter control of all text sizes. Individual text element sizes can be controlled by other size arguments. "Title" sizes are 2 points larger than "text" sizes when being controlled by this. cellTextSize,featureTextSize,legendTextSize Size of cell barcode labels, gene/factor labels, or legend values. Default NULL. cellTitleSize,featureTitleSize,legendTitleSize Size of titles of the cell slices, gene/factor slices, or the legends. Default NULL. viridisOption,viridisDirection See argument option and direction of viridis. Default "A" and -1. RColorBrewerOption When scale = TRUE, heatmap color will be mapped with brewer.pal. This is passed to name. Default "RdBu".

Value

A HeatmapList-class object.

Examples

defaultCluster(pbmc) <- pbmcPlot$leiden_cluster
pbmc <- normalize(pbmc)
plotPairwiseDEGHeatmap(pbmc, deg.pw, '4.stim')

rliger documentation built on Oct. 30, 2024, 1:07 a.m.