applyFilter: Constructing robust reference standards for Nof1 studies for...
In SamirRachidZaim/referenceNof1: ‘Develops Robust Nof1 Reference Standards for Single-Subject Studies in Precision Medicine’
Description
referenceNof1 is the R implementation of the reference biomarker algorithm by (Zaim 2020)
Usage
1
2
applyFilter(gs.mat = utils::data("mcf7"), expressionCutoff =30,
fold_change_window=c(1, 1.5), FDR.cutoff=0.1)
Arguments
gs.mat
a matrix of paired samples used to develop the reference standard.
All paired samples must be adjacent
expressionCutoff
a scalar positive integer > 1 indicating the minimum count value of RNA-seq
FCCutoff
a scalar indicating minimum fold change cutoff
FDR.cutoff
fdr.threshold for determining which set of genes are DEGs in the reference standard
SamirRachidZaim/referenceNof1 documentation built on Oct. 24, 2020, 2:22 p.m.
R Package Documentation
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Description
referenceNof1 is the R implementation of the reference biomarker algorithm by (Zaim 2020)
Usage
1 2 | applyFilter(gs.mat = utils::data("mcf7"), expressionCutoff =30,
fold_change_window=c(1, 1.5), FDR.cutoff=0.1)
|
Arguments
gs.mat |
a matrix of paired samples used to develop the reference standard. All paired samples must be adjacent |
expressionCutoff |
a scalar positive integer > 1 indicating the minimum count value of RNA-seq |
FCCutoff |
a scalar indicating minimum fold change cutoff |
FDR.cutoff |
fdr.threshold for determining which set of genes are DEGs in the reference standard |
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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