cn_make_processor: make a CellNet object
In pcahan1/CellNet: Assess and improve cell fate engineering with network biology
cn_make_processor R Documentation
make a CellNet object
Description
Does lots of stuff, but mostly you will care about the fact that it trains C/T classifiers
Usage
cn_make_processor(expTrain, stTrain, ctGRNs, dLevel = "description1",
classWeight = TRUE, exprWeight = TRUE, sidCol = "sample_id")
Arguments
expTrain
expression matrix
stTrain
sample table
ctGRNs
result of running cn_grnDoRock
dLevel
sample table column name to operate on
classWeight
weight GRN est by classification importance
exprWeight
weight GRN est by gene expression
sidCol
column in stTrain that contains unique id for each sample and is the colname in expTrain
Value
cnProc
pcahan1/CellNet documentation built on May 18, 2023, 4:58 p.m.
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| cn_make_processor | R Documentation |
make a CellNet object
Description
Does lots of stuff, but mostly you will care about the fact that it trains C/T classifiers
Usage
cn_make_processor(expTrain, stTrain, ctGRNs, dLevel = "description1",
classWeight = TRUE, exprWeight = TRUE, sidCol = "sample_id")
Arguments
expTrain |
expression matrix |
stTrain |
sample table |
ctGRNs |
result of running cn_grnDoRock |
dLevel |
sample table column name to operate on |
classWeight |
weight GRN est by classification importance |
exprWeight |
weight GRN est by gene expression |
sidCol |
column in stTrain that contains unique id for each sample and is the colname in expTrain |
Value
cnProc
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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