BiGenePlot: bi_getValues utility function.

In Morriseylab/scExtras: Single cell data analysis helper functions

bi_getValues utility function.

Description

bi_getValues utility function.

Usage

BiGenePlot(
  object,
  feature1,
  feature2,
  feature1.min = 1,
  feature2.min = 1,
  dims = 1:2,
  reduction = "umap",
  pt.size = 0.1,
  cols = c("#E41A1C", "#377EB8", "#4DAF4A", "grey75"),
  plotLineage = FALSE,
  title = NULL
)

Arguments

object	Seurat object
feature1	Feature 1
feature2	Feature 2
feature1.min	Min UMI for a cell to be postive for feature. Set higher for more a restrictive selection
feature2.min	Min UMI for a cell to be postive for feature. Set higher for more a restrictive selection
dims	Dimensions to plot, must be a two-length numeric vector specifying x- and y-dimensions
reduction	Which dimensionality reduction to use
pt.size	Adjust point size
cols	Vector of colors for Feature1+/Feature2+, feature1+,feature2+ and feature1-/feature2-
title	Plot Title

Morriseylab/scExtras documentation built on July 10, 2024, 6:41 a.m.