Description Usage Arguments Value Author(s) See Also Examples
View source: R/pairwise_pep_peak_corp.R
This function aligns XICs of reference and experiment runs. It produces aligned retention times between refernce run and experiment run.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | getAlignedTimes(
XICs.ref,
XICs.eXp,
globalFit,
alignType,
adaptiveRT,
normalization,
simMeasure,
goFactor,
geFactor,
cosAngleThresh,
OverlapAlignment,
dotProdThresh,
gapQuantile,
kerLen,
hardConstrain,
samples4gradient,
objType = "light"
)
|
XICs.ref |
List of extracted ion chromatograms from reference run. |
XICs.eXp |
List of extracted ion chromatograms from experiment run. |
globalFit |
Linear or loess fit object between reference and experiment run. |
alignType |
Available alignment methods are "global", "local" and "hybrid". |
adaptiveRT |
(numeric) Similarity matrix is not penalized within adaptive RT. |
normalization |
(character) Must be selected from "mean", "l2". |
simMeasure |
(string) Must be selected from dotProduct, cosineAngle, crossCorrelation, cosine2Angle, dotProductMasked, euclideanDist, covariance and correlation. |
goFactor |
(numeric) Penalty for introducing first gap in alignment. This value is multiplied by base gap-penalty. |
geFactor |
(numeric) Penalty for introducing subsequent gaps in alignment. This value is multiplied by base gap-penalty. |
cosAngleThresh |
(numeric) In simType = dotProductMasked mode, angular similarity should be higher than cosAngleThresh otherwise similarity is forced to zero. |
OverlapAlignment |
(logical) An input for alignment with free end-gaps. False: Global alignment, True: overlap alignment. |
dotProdThresh |
(numeric) In simType = dotProductMasked mode, values in similarity matrix higher than dotProdThresh quantile are checked for angular similarity. |
gapQuantile |
(numeric) Must be between 0 and 1. This is used to calculate base gap-penalty from similarity distribution. |
kerLen |
(integer) In simType = crossCorrelation, length of the kernel used to sum similarity score. Must be an odd number. |
hardConstrain |
(logical) If FALSE; indices farther from noBeef distance are filled with distance from linear fit line. |
samples4gradient |
(numeric) This parameter modulates penalization of masked indices. |
objType |
(char) Must be selected from light, medium and heavy. |
(list) the first element corresponds to the aligned reference time, the second element is the aligned experiment time.
Shubham Gupta, shubh.gupta@mail.utoronto.ca
ORCID: 0000-0003-3500-8152
License: (c) Author (2019) + GPL-3 Date: 2019-12-13
alignChromatogramsCpp, getAlignObj
1 2 3 4 5 6 7 8 9 10 11 12 13 14 | data(XIC_QFNNTDIVLLEDFQK_3_DIAlignR, package="DIAlignR")
data(oswFiles_DIAlignR, package="DIAlignR")
run1 <- "hroest_K120809_Strep0%PlasmaBiolRepl2_R04_SW_filt"
run2 <- "hroest_K120809_Strep10%PlasmaBiolRepl2_R04_SW_filt"
XICs.ref <- XIC_QFNNTDIVLLEDFQK_3_DIAlignR[[run1]][["4618"]]
XICs.eXp <- XIC_QFNNTDIVLLEDFQK_3_DIAlignR[[run2]][["4618"]]
RUNS_RT <- getRTdf(oswFiles_DIAlignR, ref = "run1", eXp = "run2", maxFdrGlobal = 0.05)
globalFit <- loess(RT.eXp ~ RT.ref, data = RUNS_RT, span = 0.1, control=loess.control(surface="direct"))
adaptiveRT <- 77.82315 #3.5*globalFit$s
getAlignedTimes(XICs.ref, XICs.eXp, globalFit, alignType = "hybrid",
adaptiveRT = adaptiveRT, normalization = "mean",
simMeasure = "dotProductMasked", goFactor = 0.125, geFactor = 40, cosAngleThresh = 0.3,
OverlapAlignment = TRUE, dotProdThresh = 0.96, gapQuantile = 0.5, kerLen = 9L, hardConstrain = FALSE,
samples4gradient = 100)
|
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