geneScores: score indvidual genes
In pcahan1/cancerCellNet: CellNet, for cancer
geneScores R Documentation
score indvidual genes
Description
score individual genes
Usage
geneScores(queryMatrix, ctt, trainNorm, grn_all, importantGenes)
Arguments
queryMatrix
query ranked expression matrix
ctt
the name of the cancer type specific network
trainNorm
the normalization statistics from ccn_trainNorm
grn_all
the grn construction results from ccn_makeGRN
importantGenes
a list of gene importances
Value
a matrix with individual gene z score for each query sample, and the expression direction it should move to achieve ideal similarity with subnetwork. The order of the gene is ranked by importance from the classifier
pcahan1/cancerCellNet documentation built on July 16, 2022, 12:12 a.m.
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| geneScores | R Documentation |
score indvidual genes
Description
score individual genes
Usage
geneScores(queryMatrix, ctt, trainNorm, grn_all, importantGenes)
Arguments
queryMatrix |
query ranked expression matrix |
ctt |
the name of the cancer type specific network |
trainNorm |
the normalization statistics from |
grn_all |
the grn construction results from |
importantGenes |
a list of gene importances |
Value
a matrix with individual gene z score for each query sample, and the expression direction it should move to achieve ideal similarity with subnetwork. The order of the gene is ranked by importance from the classifier
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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