heritability_cor_scatterplot: heritability_cor_scatterplot

In dengchunyu/scPagwas: A pathway-based polygenic integration method for inferring disease-associated individual cells in single cell sequencing data

heritability_cor_scatterplot

Description

Plot the scatterplot for the pearson correlation coefficients(PCC) for each genes. pearson methods for each gene expression and gPAS score in each cells.

Usage

heritability_cor_scatterplot(
  gene_heri_cor = NULL,
  topn_genes_label = 10,
  color_low = "#035397",
  color_high = "#F32424",
  color_mid = "white",
  text_size = 3,
  do_plot = TRUE,
  max.overlaps = 10,
  figurenames = NULL,
  width = 7,
  height = 7
)

Arguments

gene_heri_cor	PCC result for scPagwas.
topn_genes_label	10, the number of top genes for correlation.
color_low	low color
color_high	high color
color_mid	mid color
text_size	text size
do_plot	parametr for "geom_label_repel", Exclude text labels that overlap too many things. Defaults to 10.
max.overlaps	mac over
figurenames	The filename and address of the output plot
width	figure width
height	figure height

Value

scatterplot

Author(s)

Chunyu Deng

Examples

load(system.file("extdata", "Pagwas_data.RData", package = "scPagwas"))
heritability_cor_scatterplot(
  gene_heri_cor = Pagwas_data@misc$PCC,
  topn_genes_label = 10,
  color_low = "#035397",
  color_high = "#F32424",
  color_mid = "white",
  text_size = 2,
  do_plot = TRUE,
  max.overlaps = 20,
  width = 7,
  height = 7
)

dengchunyu/scPagwas documentation built on Nov. 29, 2024, 2:53 p.m.