Description Usage Arguments Value
Denoises FAIMS data. First identifies pixels likely to be solely noise (mean value across all samples close to zero). Then identifies a value to subtract from all pixels by taking the fractionToRemove quantile of all the values in the noise pixels, and subtracts this from the absolute value of each pixels, zeroing any values which are negative after subtracting background noise.
1 2 | denoiseFaimsData(faimsObject, fractionNoise = 0.05,
fractionToRemove = 0.99)
|
fractionNoise |
The percentage of pixels to identify as "noise" |
fractionToRemove |
The quantile value of the noise pixels to subtract from all pixels |
FAIMSObject |
FAIMS object |
a denoised FAIMS data matrix
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