plotDiffGenes: Heatmap of mean-marker expression by cluster-sample

Description Usage Arguments Value Author(s)

View source: R/plotDiffGenes.R

Description

...

Usage

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plotDiffGenes(x, y, top_n = 20, sort_by = c("FDR", "logFC"),
  clusters = NULL, fdr = 0.05, lfc = 1)

Arguments

x

a [SingleCellExperiment]{SingleCellExperiment}.

y

a table containing differential testing results as returned by, for example, run_edgeR.

top_n

single numeric specifying the number of genes to include.

sort_by

a character string specifying a y column to sort by.

clusters

a character string specifying which cluster(s) results should be included for. If NULL (the default), the top_n hits for each cluster will be included.

fdr

single numeric specifying the threshold on adjusted p-values below which results should be considered significant.

lfc

single numeric specifying the threshold on absolute logFCs above which results should be included.

Value

a HeatmapList-class object.

Author(s)

Helena L. Crowell [email protected]


HelenaLC/ddSingleCell documentation built on Dec. 7, 2018, 7:54 a.m.