BCscTool: BCscTool

In kendomaniac/rCASC: rCASC reproducible Classification Analysis of Single Cell Sequencing Data

BCscTool

Description

The present function associates the clusters of two different and indipendent experiments using the Bray Curtis dissimilarity. BOTH set must have same number and name of ROW (GENES)

Usage

BCscTool(
  group = c("sudo", "docker"),
  scratch.folder,
  setA,
  setAclustering,
  markerA,
  setB,
  setBclustering,
  markerB,
  separator,
  contamination = 5,
  permutation = 50,
  threshold = 3
)

Arguments

group	a character string. Two options: sudo or docker, depending to which group the user belongs
scratch.folder	a character string indicating the path of the scratch folder
setA	path to the first dataset
setAclustering	path to the clustering file for the first dataset. This file is derived from clustering.output file generated by the rCASC clustering. It contains the following columns: CellName, Belonging_Cluster
markerA	path to the file containing cluster specific genes for the first dataset. The file requires the following column: gene, cluster
setB	path to the second dataset
setBclustering	path to the clustering file for the second dataset. This file is derived from clustering.output file generated by the rCASC clustering. It contains the following columns: CellName, Belonging_Cluster
markerB	path to the file containing cluster specific genes for the second dataset. The file requires the following column: gene, cluster
separator	separator used in both count file, e.g. ','
contamination	fraction of genes to be contaminated at each eprmutaitone DEFAULT VALUE: 5
permutation	number of permutations DEFAULT VALUE: 50
threshold	minimum value to consider a gene expressed in both count sets. DEFAULT VALUE: 3

Author(s)

Gabriele Piacenti, g [dot] pia91 [at] gmail [dot] com, University of Torino

Examples

		
## Not run: 
BCscTool(group = "docker",
         scratch.folder = "/home/user09/piacenti/ProvaBCSC/scratch",
         setA = paste(getwd(),"setA.csv",sep = "/"),
         setAclustering = paste(getwd(),"setA_clustering.csv",sep = "/"),
         markerA = paste(getwd(),"setA.markers.csv",sep = "/"),
         setB =paste(getwd(),"set1.csv",sep = "/"),
         setBclustering = paste(getwd(),"set1_clustering.csv",sep = "/"),
         markerB =paste(getwd(),"set1.markersPROVA.csv",sep = "/"),
         separator =",",
         contamination = 10 ,
         permutation = 10,
         threshold = 3 )

## End(Not run)

kendomaniac/rCASC documentation built on July 3, 2024, 6:05 a.m.