Description Usage Arguments Value Examples
This function is to do clustering analysis for a number of sets combined
1 2 3 | docluster.multi(Number, txcutoff = 500, sets, nms, selected = NULL,
filterstuff = NULL, reso = 0.6, israw = F, dofindcluster = T,
dotsne = T, acphi = 2500)
|
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) |
this will return the clean and square plot
1 | 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)
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