calc_normTfScore: Calculate the TF normalization constant Calculate the TF...
In pcahan1/cancerCellNet: CellNet, for cancer
calc_normTfScore R Documentation
Calculate the TF normalization constant
Calculate the TF score given all the parameters
Description
Calculate the TF normalization constant
Calculate the TF score given all the parameters
Usage
calc_normTfScore(
tf,
targs,
sampleID,
netGenes,
weights,
grnTable,
correlationFactor = 1
)
Arguments
tf
TF
targs
a list of targets for TF
sampleID
the sample ID
netGenes
genes selected for building the subnetwork
weights
a vector of weights for each gene
grnTable
the grn table with correlation values and signs
correlationFactor
the weight of correlation between
pcahan1/cancerCellNet documentation built on July 16, 2022, 12:12 a.m.
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| calc_normTfScore | R Documentation |
Calculate the TF normalization constant Calculate the TF score given all the parameters
Description
Calculate the TF normalization constant Calculate the TF score given all the parameters
Usage
calc_normTfScore( tf, targs, sampleID, netGenes, weights, grnTable, correlationFactor = 1 )
Arguments
tf |
TF |
targs |
a list of targets for TF |
sampleID |
the sample ID |
netGenes |
genes selected for building the subnetwork |
weights |
a vector of weights for each gene |
grnTable |
the grn table with correlation values and signs |
correlationFactor |
the weight of correlation between |
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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