RCAPlot: Visualize the result of RCA clustering

In GIS-SP-Group/RCA: RCA: Clustering Single Cell RNAseq Data using Reference Component Analysis

Description

Visualize the result of RCA via scatter (PCA) plot and heat maps.

Usage

RCAPlot(rca_obj, point_cex = 1, cluster_color_labels = NULL)

Arguments

rca_obj	input data object.
point_cex	scaling parameter for point size in scatter plots. Default value is 1.
cluster_color_labels	label of cell identities in colors based on external information. Default value is NULL.

Value

Two types of png format plots, including scatter plot in PCA space and heat map with columns representing samples and rows representing Reference Component Projections.

Examples

To color cells with default RCA clusters:
RCAplot(data_obj);

To color cells with external color labels:
RCAPlot(data_obj,cluster_color_labels = color_to_use);
Note: the "color_to_use" vector needs to be of the length of total number of input cells, and ordered according to the columns of the input expression data frame (e.g. FPKM_raw).

GIS-SP-Group/RCA documentation built on May 6, 2019, 5:30 p.m.