| InternalFunctions {EventPointer} | R Documentation |
Internal functions used by EventPointer in the different steps of the algorithm
annotateEvents(Events, PSR_Gene, Junc_Gene, Gxx)
annotateEventsMultipath(Events, PSR_Gene, Junc_Gene, Gxx, paths)
AnnotateEvents_RNASeq(Events)
AnnotateEvents_RNASeq_MultiPath(Events, paths)
AnnotateEvents_KLL(Events, Gxx, GenI)
ClassifyEvents(SG, Events, twopaths)
estimateAbsoluteConc(Signal1, Signal2, SignalR, lambda)
estimateAbsoluteConcmultipath(datos, lambda = 0.1)
findTriplets(randSol, tol = 1e-08)
findTriplets2(Incidence, paths = 2, randSol)
GetCounts(Events, sg_txiki, type = "counts")
GetCountsMP(Events, sg_txiki, type = "counts")
getEventPaths(Events, SG)
getEventMultiPaths(Events, SG, twopaths, paths)
GetIGVPaths(EventInfo, SG_Edges)
getPSI(ExFit, lambda = 0.1)
getPSI_RNASeq(Result, lambda = 0.1)
getPSI_RNASeq_MultiPath(Result, lambda = 0.1)
getRandomFlow(Incidence, ncol = 1)
IHsummarization(Pv1, t1, Pv2, t2, coherence = "Opposite")
pdist2(X, Y)
PrepareCountData(Result)
PrepareProbes(Probes, Class)
PrepareOutput(Result, Final)
SG_Info(SG_Gene)
SG_creation(SG_Gene)
SG_creation_RNASeq(SG_Gene)
WriteGTF(PATH, Data, Probes, Paths)
WriteGTF_RNASeq(PATH, Data, Paths)
flat2Cdf(file, chipType, tags = NULL, rows = 2560, cols = 2560,
verbose = 10, xynames = c("X", "Y"), gcol = 5, ucol = 6,
splitn = 4, col.class = c("integer", "character")[c(1, 1, 1, 2, 2,
2)], Directory = getwd(), ...)
uniquefast(X)
filterimagine(Info, paths)
transfromedge(SG, SG_Gene)
sacartranscritos(edgetr, events)
comprobaciontranscritos2(Result)
convertToSGFeatures2(x, coerce = FALSE, merge = FALSE)
processFeatures2(features, coerce = FALSE, merge = FALSE)
annotate2(query, subject)
annotateFeatures2(query, subject)
mergeExonsTerminal2(features, min_n_sample = 1)
get_beta(combboots, incrPSI_original, ncontrastes)
get_table(PSI_arrayP, nevents, totchunk, chunk, nsamples, incrPSI_original,
V, nboot, nbootin, ncontrastes)
get_YB(PSI_arrayS, l, nsamples, I, J, CTEind)
getInfo(table, ncontrast)
Internal outputs