learnTechnicalVariation: Learn technical variation between any two datasets

In amsszlh/scMC: Integrating and comparing multiple single cell genomic datasets

Description

Learn technical variation between any two datasets

Usage

learnTechnicalVariation(
  object.list,
  features.integration,
  similarity.cutoff = 0.6,
  assay = NULL
)

Arguments

object.list	List of Seurat objects
features.integration	feature
similarity.cutoff	a thresholding parameter determining whether cell clusters are shared across different datasets based on their similarity. If T is too small, the biological variation may be removed. If T is too large, the technical variation could not be removed.
assay	assay to use

Value

a list of two structured matrices: one is the data matrix and the other is the confounding matrix

amsszlh/scMC documentation built on Jan. 2, 2021, 1:51 p.m.