View source: R/feature_helpers.R
fpkm_calc | R Documentation |
A helper for [fpkm()] Normally use function [fpkm()], if you want unusual normalization , you can use this. Short for: Fragments per kilobase of transcript per million fragments Normally used in Translations efficiency calculations
fpkm_calc(counts, lengthSize, librarySize)
counts |
a list, # of read hits per group |
lengthSize |
a list of lengths per group |
librarySize |
a numeric of size 1, the # of reads in library |
a numeric vector
doi: 10.1038/nbt.1621
Other features:
computeFeatures()
,
computeFeaturesCage()
,
countOverlapsW()
,
disengagementScore()
,
distToCds()
,
distToTSS()
,
entropy()
,
floss()
,
fpkm()
,
fractionLength()
,
initiationScore()
,
insideOutsideORF()
,
isInFrame()
,
isOverlapping()
,
kozakSequenceScore()
,
orfScore()
,
rankOrder()
,
ribosomeReleaseScore()
,
ribosomeStallingScore()
,
startRegion()
,
startRegionCoverage()
,
stopRegion()
,
subsetCoverage()
,
translationalEff()
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