findDiffAbundantCells: Run DAseq algorithm

View source: R/differential_abundance.R

findDiffAbundantCellsR Documentation

Run DAseq algorithm

Description

This function warp Steps 1~3 of DAseq algorithm from package getDAcells

Usage

findDiffAbundantCells(
  obj,
  ctrl,
  stim,
  reduction = "pca",
  npc = 20,
  pred.thres = NULL,
  k.vector = NULL,
  resolution = 0.05
)

Arguments

obj

Seurat object

ctrl

Control condition

stim

Stimulus condition

reduction

Which dimensionality reduction to use

npc

How many dimensions to use as input features

pred.thres

length-2 vector, top and bottom threshold on DA measure, default NULL, select significant DA cells based on permutation

k.vector

vector, k values to create the score vector

resolution

parameter for Seurat function FindClusters(), default 0.05


altairwei/rhapsodykit documentation built on Feb. 1, 2023, 8:52 a.m.