hpaVisSubcell: Visualize subcellular location data

In trannhatanh89/HPAanalyze: Retrieve and analyze data from the Human Protein Atlas

Visualize subcellular location data

Description

Visualize the the confirmed subcellular locations of genes of interest.

Usage

hpaVisSubcell(
  data = NULL,
  targetGene = NULL,
  reliability = c("enhanced", "supported", "approved", "uncertain"),
  color = c("#FCFDBF", "#8C2981"),
  customTheme = FALSE
)

Arguments

data	Input the list object generated by hpa_download() or hpa_subset(). Require the subcellular_location dataset. Use HPA histology data (built-in) by default.
targetGene	Vector of strings of HGNC gene symbols. By default it is set to c('TP53', 'EGFR', 'CD44', 'PTEN'). You can also mix HGNC gene symbols and ensemnl ids (start with ENSG) and they will be converted to HGNC gene symbols.
reliability	Vector of string indicate which reliability scores you want to plot. The default is everything c("enhanced", "supported", "approved", "uncertain").
color	Vector of 2 colors used to depict if the protein expresses in a location or not.
customTheme	Logical argument. If TRUE, the function will return a barebone ggplot2 plot to be customized further.

Value

This function will return a ggplot2 plot object, which can be further modified if desirable. The subcellular location data is visualized as a tile graph, in which the x axis includes the inquired proteins and the y axis contain the subcellular locations.

See Also

Other visualization functions: hpaVisPatho(), hpaVisTissue(), hpaVis()

Examples

  data("hpa_histology_data")
  geneList <- c('TP53', 'EGFR', 'CD44', 'PTEN', 'IDH1', 'IDH2', 'CYCS')

  ## A typical function call
  hpaVisSubcell(data=hpa_histology_data,
                  targetGene=geneList)

trannhatanh89/HPAanalyze documentation built on June 6, 2023, 4:31 p.m.