cn_normalizeScores: Normalize grn status as compared to training data
In pcahan1/CellNet: Assess and improve cell fate engineering with network biology
cn_normalizeScores R Documentation
Normalize grn status as compared to training data
Description
Divide the query scores by the mean values in the training data.
Usage
cn_normalizeScores(ctrlScores, queryScores, subNets)
Arguments
ctrlScores
a list of subnet->mean value, all subnets
queryScores
a matrix, rownames = subnet names, all subnets
subNets
a vector of subnets names to use
Value
normalized grn status matrix
pcahan1/CellNet documentation built on May 18, 2023, 4:58 p.m.
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| cn_normalizeScores | R Documentation |
Normalize grn status as compared to training data
Description
Divide the query scores by the mean values in the training data.
Usage
cn_normalizeScores(ctrlScores, queryScores, subNets)
Arguments
ctrlScores |
a list of subnet->mean value, all subnets |
queryScores |
a matrix, rownames = subnet names, all subnets |
subNets |
a vector of subnets names to use |
Value
normalized grn status matrix
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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