View source: R/buildSignatureMatrixMAST.R
buildSignatureMatrixMAST | R Documentation |
This function builds a signature matrix using genes identified by the DEAnalysisMAST() function.
buildSignatureMatrixMAST( scdata, id, path, diff.cutoff = 0.5, pval.cutoff = 0.01, f = 200 )
scdata |
The data |
id |
The identities of the genes |
path |
The path to the file results |
diff.cutoff |
This is automatically set to 0.5 |
pval.cutoff |
This is automatically set to 0.01 |
f |
The maximum number of genes (when creating the signature matrix, need to reduce number of genes, between 50:f number of significant genes are chosen). If not set, this number is automatically set to 200. |
Signature Matrix built using the MAST algorithm
#dataSC #url <- "https://github.com/sistia01/DWLS/raw/main/inst/extdata/dataSC.RData" #dest <- "data/dataSC.RData" #load(download.file(url, tempfile(data/dataSC.RData)) #load("dataSC.RData") #SOLUTION load(system.file("extdata", "dataSC.RData", package = "DWLS")) #dataBulk #url <- "https://github.com/sistia01/DWLS/raw/main/inst/extdata/dataBulk.RData" #dest <- "data/dataBulk.RData" #load(download.file(url, tempfile(dest))) #load("data/dataBulk.RData") load(system.file("extdata", "dataBulk.RData", package = "DWLS")) #labels #url <- "https://github.com/sistia01/DWLS/raw/main/inst/extdata/labels.RData" #dest <- "data/labels.RData" #download.file(url, dest) #load("data/labels.RData") load(system.file("extdata", "labels.RData", package = "DWLS")) #data('trueLabels', package = "DWLS") #url <- "https://github.com/sistia01/DWLS/raw/main/inst/extdata/trueLabels.RData" #dest <- "data/trueLabels.RData" #download.file(url, dest) #load("data/trueLabels.RData") load(system.file("extdata", "trueLabels.RData", package = "DWLS")) labels<-trueLabels #Change to real labels newcat<-c("NonCycISC","CycISC","TA","Ent","PreEnt","Goblet","Paneth","Tuft", "EE") for (i in 1:length(newcat)){ labels[which(labels==(i-1))]<-newcat[i] } #Run on local w/ inst/extdata/results folder #Signature <- #buildSignatureMatrixMAST( #dataSC,labels,"inst/extdata/results",diff.cutoff = 0.5,pval.cutoff = 0.01)
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