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Top positive&negative gene expression of a CC heatmap

Top positive&negative gene expression of a CC heatmap

Top positive&negative gene expression of a CC heatmap

Usage

GeneCCHeatmap(
  object,
  CCsToPlot = 1:3,
  RNA.assay = "GeneExpressionMatrix",
  colorbar.group = "celltype",
  MOJITOO.reduction = "MOJITOO",
  filter.mito = T,
  filter.ribo = T,
  topN = 10,
  raster = T,
  cols = (ggsci::pal_igv())(51),
  rerun = T,
  ...
)

# S3 method for Seurat
GeneCCHeatmap(
  object,
  CCsToPlot = 1:3,
  RNA.assay = "RNA",
  colorbar.group = "celltype",
  MOJITOO.reduction = "MOJITOO",
  filter.mito = T,
  filter.ribo = T,
  topN = 10,
  raster = T,
  cols = (ggsci::pal_igv())(51),
  rerun = T,
  ...
)

# S3 method for ArchRProject
GeneCCHeatmap(
  object,
  CCsToPlot = 1:3,
  RNA.assay = "GeneExpressionMatrix",
  colorbar.group = "celltype",
  MOJITOO.reduction = "MOJITOO",
  filter.mito = T,
  filter.ribo = T,
  topN = 10,
  raster = T,
  cols = (ggsci::pal_igv())(51),
  rerun = T,
  ...
)

Arguments

object

ArchR Object

reduction.list

reduction list

dims.list

dims list

reduction.name

reduction name

Examples

GeneCCHeatmap()
#> Error in GeneCCHeatmap(): argument "object" is missing, with no default
GeneCCHeatmap()
#> Error in GeneCCHeatmap(): argument "object" is missing, with no default
GeneCCHeatmap()
#> Error in GeneCCHeatmap(): argument "object" is missing, with no default