findNoiseFaimsData.localCorr: Remove background noise from FAIMS data using local...
In mattdneal/FAIMSToolkit: Tools to aid in the analysis of FAIMS data
Description
Usage
Arguments
Value
Description
The signal in FAIMS data exhibits a high degree of local correlation. This
function zeroes out a fraction of pixels with the lowest degree of local
correlation.
Usage
1
2
findNoiseFaimsData.localCorr(FAIMSObject, neighbourhoodSizeCol = 1,
neighbourhoodSizeRow = 1, fractionToRemove = 0.65, plot = TRUE)
Arguments
FAIMSObject
a FAIMS object
neighbourhoodSize
the size of the neighbourhood in which to look for local correlations
alpha
p-value required for a pixel to be considered correlated to its neighbours
Value
Logical vector containing TRUE when columns are noise
mattdneal/FAIMSToolkit documentation built on May 21, 2019, 12:57 p.m.
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Description Usage Arguments Value
Description
The signal in FAIMS data exhibits a high degree of local correlation. This function zeroes out a fraction of pixels with the lowest degree of local correlation.
Usage
1 2 | findNoiseFaimsData.localCorr(FAIMSObject, neighbourhoodSizeCol = 1,
neighbourhoodSizeRow = 1, fractionToRemove = 0.65, plot = TRUE)
|
Arguments
FAIMSObject |
a FAIMS object |
neighbourhoodSize |
the size of the neighbourhood in which to look for local correlations |
alpha |
p-value required for a pixel to be considered correlated to its neighbours |
Value
Logical vector containing TRUE when columns are noise
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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