PepFragSign: Title PepFraSign
In yujijun/neoantigenML: Machine Learning Methods for Neoantigen Filtering
View source: R/pepKmerFeature.R
PepFragSign R Documentation
Title PepFraSign
Description
Title PepFraSign
Usage
PepFragSign(
PepFrag = PepFragResult,
peptides = peptides.allmouse,
JudgeMatrix = pepJudgeMatrix,
prop = 0.01,
coreN = parallel::detectCores(logical = F),
Fake = FALSE,
FakeMatrix = NULL
)
Value
d datatable with significant enrichment fragment
Examples
pepJudgeMatrix <- deredundancy.allmouse %>% column_to_rownames(var = "description")
pepFragSignResult <- PepFragSign()
yujijun/neoantigenML documentation built on March 20, 2022, 11:59 p.m.
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View source: R/pepKmerFeature.R
| PepFragSign | R Documentation |
Title PepFraSign
Description
Title PepFraSign
Usage
PepFragSign( PepFrag = PepFragResult, peptides = peptides.allmouse, JudgeMatrix = pepJudgeMatrix, prop = 0.01, coreN = parallel::detectCores(logical = F), Fake = FALSE, FakeMatrix = NULL )
Value
d datatable with significant enrichment fragment
Examples
pepJudgeMatrix <- deredundancy.allmouse %>% column_to_rownames(var = "description") pepFragSignResult <- PepFragSign()
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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