getNormalisedRanges: Predicting dynamic ranges in test data
In CopenhagenCenterForGlycomics/RGlycopacity: What the Package Does (One Line, Title Case)
getNormalisedRanges R Documentation
Predicting dynamic ranges in test data
Description
this function determines the ranges of a gene in test data
Usage
getNormalisedRanges(input.mat, quantiles = c(0.05, 0.1, 0.25, 0.75, 0.9, 0.95))
Arguments
input.mat
an n gene x m sample matrix of values
quantiles
desired ranges to compute
Value
the set of ranges computed from applying the specified quantiles to each gene in the test data
CopenhagenCenterForGlycomics/RGlycopacity documentation built on Oct. 31, 2024, 3:53 a.m.
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| getNormalisedRanges | R Documentation |
Predicting dynamic ranges in test data
Description
this function determines the ranges of a gene in test data
Usage
getNormalisedRanges(input.mat, quantiles = c(0.05, 0.1, 0.25, 0.75, 0.9, 0.95))
Arguments
input.mat |
an n gene x m sample matrix of values |
quantiles |
desired ranges to compute |
Value
the set of ranges computed from applying the specified quantiles to each gene in the test data
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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