run_cca_integration_workflow: Completes the CCA Workflow

In NWhitener/benchmarking: Benchmarking Tools For Single Cell RNA Sequencing Datasets

Completes the CCA Workflow

Description

This function completes the CCA workflow procedure for the log data transformation for merging datasets. This workflow handles data transformation, variable gene selection, integration, scaling, dimensionality reduction, and clustering.

Usage

run_cca_integration_workflow(
  dataList,
  method = "kmeans",
  numberClusters = 10,
  seed = 1
)

Arguments

dataList	A list of data sets to merge
method	The clustering method to use
numberClusters	The number of clusters to use in the kmeans clustering
seed	The seed of randomization for reproducibility, defaults to 1

Value

A list of datasets with the harmony workflow applied

NWhitener/benchmarking documentation built on Oct. 23, 2023, 12:20 a.m.