getAlignedTimesCpp | R Documentation |
Get aligned indices from MS2 extracted-ion chromatograms(XICs) pair.
getAlignedTimesCpp(
l1,
l2,
kernelLen,
polyOrd,
alignType,
adaptiveRT,
normalization,
simType,
Bp,
goFactor = 0.125,
geFactor = 40,
cosAngleThresh = 0.3,
OverlapAlignment = TRUE,
dotProdThresh = 0.96,
gapQuantile = 0.5,
kerLen = 9L,
hardConstrain = FALSE,
samples4gradient = 100
)
l1 |
(list) A list of numeric matrix of two columns. l1 and l2 should have same length. |
l2 |
(list) A list of numeric matrix of two columns. l1 and l2 should have same length. |
kernelLen |
(integer) length of filter. Must be an odd number. |
polyOrd |
(integer) TRUE: remove background from peak signal using estimated noise levels. |
alignType |
(char) A character string. Available alignment methods are "global", "local" and "hybrid". |
adaptiveRT |
(numeric) Similarity matrix is not penalized within adaptive RT. |
normalization |
(char) A character string. Normalization must be selected from (L2, mean or none). |
simType |
(char) A character string. Similarity type must be selected from (dotProductMasked, dotProduct, cosineAngle, cosine2Angle, euclideanDist, covariance, correlation, crossCorrelation). |
Bp |
(numeric) Timepoint mapped by global fit for tA. |
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. |
NumericMatrix Aligned indices of l1 and l2.
Shubham Gupta, shubh.gupta@mail.utoronto.ca ORCID: 0000-0003-3500-8152 License: (c) Author (2019) + MIT Date: 2019-03-08
data(XIC_QFNNTDIVLLEDFQK_3_DIAlignR, package="DIAlignR")
XICs <- XIC_QFNNTDIVLLEDFQK_3_DIAlignR
XICs.ref <- lapply(XICs[["hroest_K120809_Strep0%PlasmaBiolRepl2_R04_SW_filt"]][["4618"]], as.matrix)
XICs.eXp <- lapply(XICs[["hroest_K120809_Strep10%PlasmaBiolRepl2_R04_SW_filt"]][["4618"]], as.matrix)
Bp <- seq(4964.752, 5565.462, length.out = nrow(XICs.ref[[1]]))
time <- getAlignedTimesCpp(XICs.ref, XICs.eXp, 11, 4, alignType = "hybrid", adaptiveRT = 77.82315,
normalization = "mean", simType = "dotProductMasked", Bp = Bp,
goFactor = 0.125, geFactor = 40, cosAngleThresh = 0.3, OverlapAlignment = TRUE,
dotProdThresh = 0.96, gapQuantile = 0.5, hardConstrain = FALSE, samples4gradient = 100)
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