cn_classify: classify data
In pcahan1/CellNet: Assess and improve cell fate engineering with network biology
cn_classify R Documentation
classify data
Description
run binary classifiers on input expression matrix
Usage
cn_classify(classList, expDat, cttComms)
Arguments
classList
result of running CN3_makeClassifier
expDat
expression data matrix
cttComms
list of genes that were used to train each classifer cttComms[[className]]<-c(gene1, gene2, ...)
Value
classification matrix nrow=length(classList) ncol=ncol(expDat)
pcahan1/CellNet documentation built on May 18, 2023, 4:58 p.m.
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| cn_classify | R Documentation |
classify data
Description
run binary classifiers on input expression matrix
Usage
cn_classify(classList, expDat, cttComms)
Arguments
classList |
result of running CN3_makeClassifier |
expDat |
expression data matrix |
cttComms |
list of genes that were used to train each classifer cttComms[[className]]<-c(gene1, gene2, ...) |
Value
classification matrix nrow=length(classList) ncol=ncol(expDat)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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