docluster.multi: docluster.multi

Description Usage Arguments Value Examples

View source: R/Clustering.R

Description

This function is to do clustering analysis for a number of sets combined

Usage

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docluster.multi(Number, txcutoff = 500, sets, nms, selected = NULL,
  filterstuff = NULL, reso = 0.6, israw = F, dofindcluster = T,
  dotsne = T, acphi = 2500)

Arguments

Number

the number of informative genes for clustering, default is 500

txcutoff

the informative gene list from GetinformativeGene, default is 500

sets

a list of dge filesw

nms

a vector of names for each sample

selected

NULL

filterstuff

NULL

reso

The resolusion for clustering, default is 0.6

israw,

the dge in sets is from raw raw data that has no rowname if TRUE, or if FALSE it is extracted raw matrix from Seurat object

dofindcluster

if TRUE, do find clustering, default is true

dotsne

if TRUE, do tsne, default is true

acphi

accepted hiest gene number per cell, default is 2500(Should increase when processing fludigam data)

Value

this will return the clean and square plot

Examples

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S7rock_1.S7<-docluster.multi(500,txcutoff=500,sets=list(s7.RockII_1=s7.RockII_1.dge,s7.B=s7.B.dge),nms=c("s7.RockII_1","s7.B"),israw=T)

chenweng1991/EZsinglecell documentation built on July 11, 2020, 3:23 p.m.