cn_score: GRN status
In pcahan1/CellNet: Assess and improve cell fate engineering with network biology
cn_score R Documentation
GRN status
Description
Calculates the GRN status in query samples as compared to training data
Usage
cn_score(expDat, subList, tVals, classList = NULL, minVals = NULL,
classWeight = FALSE, exprWeight = TRUE, xmax = 1000)
Arguments
expDat
query expression matrix
subList
of ct => genes
tVals
list of ctt->list(means->genes, sds->genes)
classList
class list
minVals
min vals
classWeight
classweght
exprWeight
expression weight
Value
GRN scores
pcahan1/CellNet documentation built on May 18, 2023, 4:58 p.m.
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| cn_score | R Documentation |
GRN status
Description
Calculates the GRN status in query samples as compared to training data
Usage
cn_score(expDat, subList, tVals, classList = NULL, minVals = NULL,
classWeight = FALSE, exprWeight = TRUE, xmax = 1000)
Arguments
expDat |
query expression matrix |
subList |
of ct => genes |
tVals |
list of ctt->list(means->genes, sds->genes) |
classList |
class list |
minVals |
min vals |
classWeight |
classweght |
exprWeight |
expression weight |
Value
GRN scores
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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