Perform_CCA: A Perform_CCA Function

In parveendabas/SCA: What the Package Does (One Line, Title Case)

A Perform_CCA Function

Description

This function allows you to perform CCA. For the selected PC, different resoultion ("0.1", "0.2", "0.3", "0.5", "0.8") will be computed for clustering

Usage

Perform_CCA(
  TempAll.object,
  NameInpdf,
  saveDIR,
  FeatureUseCount = 2500,
  CCAdimchosen = 30,
  res = 0.5,
  k.filter = 200,
  plots = TRUE,
  save = TRUE
)

Arguments

TempAll.object	A list of Seurat objects between which to find anchors for downstream integration.
NameInpdf	Path to save Quality plots and RDS data.
saveDIR	Suffix to be added to CCA files.
FeatureUseCount	A numeric value. This will call SelectIntegrationFeatures to select the provided number of features to be used in anchor finding
CCAdimchosen	Which dimensions to use from the CCA to specify the neighbor search space
res	k.filter How many neighbors (k) to use when filtering anchors
plots	Save CCA plots
save	Save integrated CCA RDS Seurat object

Examples

Perform_CCA()

parveendabas/SCA documentation built on Sept. 19, 2022, 8:31 a.m.