# showMethods(as.list)
# methods("as.list")
# We have to use variable x because that is what used in generic.
#' An S4 object for class AffineAlignObjLight It only contains aligned indices.
#'
#' indexA_aligned and indexB_aligned are aligned indices of signalA and SignalB. The cumulative
#' alignment score is in score vector.
#' @author Shubham Gupta, \email{shubh.gupta@mail.utoronto.ca}
#'
#' ORCID: 0000-0003-3500-8152
#'
#' License: (c) Author (2019) + GPL-3
#' Date: 2019-12-14
#' @importFrom methods setClass new
#' @seealso \code{\link{doAffineAlignmentCpp}}
#' @export
AffineAlignObjLight <- setClass(Class="AffineAlignObjLight",
representation(indexA_aligned = "numeric", indexB_aligned = "numeric",
score = "numeric")
)
#' Converts instances of class AffineAlignObjLight into list
#'
#' @author Shubham Gupta, \email{shubh.gupta@mail.utoronto.ca}
#'
#' ORCID: 0000-0003-3500-8152
#'
#' License: (c) Author (2019) + GPL-3
#' Date: 2020-03-31
#' @importFrom methods setMethod slot slotNames
#' @param x An object of class AffineAlignObjLight
#' @return list
#' @export
setMethod("as.list", signature(x="AffineAlignObjLight"), function(x) {
mapply(function(slotname) slot(x, slotname), slotNames(class(x)), SIMPLIFY=FALSE)
})
#' An S4 object for class AffineAlignObjMedium. It only contains similarity matrix and aligned indices.
#'
#' s is a point-wise similarity matrix between signalA and signalB.
#' path matrix is a binary matrix with ones indicating path of maximum cumulative score.
#' GapOpen and GapExten are gap-opening and gap-extension penalties used by affine alignment algorithm.
#' indexA_aligned and indexB_aligned are aligned indices of signalA and SignalB. The cumulative
#' alignment score is in score vector.
#' @author Shubham Gupta, \email{shubh.gupta@mail.utoronto.ca}
#'
#' ORCID: 0000-0003-3500-8152
#'
#' License: (c) Author (2019) + GPL-3
#' Date: 2019-12-14
#' @importFrom methods setClass new
#' @seealso \code{\link{doAffineAlignmentCpp}}
#' @export
AffineAlignObjMedium <- setClass(Class="AffineAlignObjMedium",
representation(s = "matrix", path = "matrix"),
contains = "AffineAlignObjLight"
)
#' Converts instances of class AffineAlignObjMedium into list
#'
#' @author Shubham Gupta, \email{shubh.gupta@mail.utoronto.ca}
#'
#' ORCID: 0000-0003-3500-8152
#'
#' License: (c) Author (2019) + GPL-3
#' Date: 2020-03-31
#' @importFrom methods setMethod slot slotNames
#' @param x An object of class AffineAlignObjMedium
#' @return list
#' @export
setMethod("as.list", signature(x="AffineAlignObjMedium"), function(x) {
mapply(function(slotname) slot(x, slotname), slotNames(class(x)), SIMPLIFY=FALSE)
})
#' An S4 object for class AffineAlignObj
#'
#' s is a point-wise similarity matrix between signalA and signalB.
#' Intermediate matrices M,A,B are calculated from s for affine-alignment. Each cell of the Traceback
#' matrix has coordinate of its parent cell. path matrix is a binary matrix with ones indicating path
#' of maximum cumulative score.
#' GapOpen and GapExten are gap-opening and gap-extension penalties used by affine alignment algorithm.
#' indexA_aligned and indexB_aligned are aligned indices of signalA and SignalB. The cumulative
#' alignment score is in score vector.
#' @author Shubham Gupta, \email{shubh.gupta@mail.utoronto.ca}
#'
#' ORCID: 0000-0003-3500-8152
#'
#' License: (c) Author (2019) + GPL-3
#' Date: 2019-12-14
#' @importFrom methods setClass new
#' @seealso \code{\link{doAffineAlignmentCpp}}
#' @export
AffineAlignObj <- setClass(Class="AffineAlignObj",
representation(s = "matrix", M = "matrix", A = "matrix", B = "matrix",
Traceback = "matrix",
path = "matrix",
signalA_len = "numeric", signalB_len = "numeric",
GapOpen = "numeric", GapExten = "numeric",
FreeEndGaps = "logical",
indexA_aligned = "numeric", indexB_aligned = "numeric",
score = "numeric", simScore_forw = "numeric",
nGaps = "numeric")
)
#' Converts instances of class AffineAlignObj into list
#'
#' @author Shubham Gupta, \email{shubh.gupta@mail.utoronto.ca}
#'
#' ORCID: 0000-0003-3500-8152
#'
#' License: (c) Author (2019) + GPL-3
#' Date: 2020-03-31
#' @importFrom methods setMethod slot slotNames
#' @param x An object of class AffineAlignObj.
#' @return list
#' @export
setMethod("as.list", signature(x="AffineAlignObj"), function(x) {
mapply(function(slotname) slot(x, slotname), slotNames(class(x)), SIMPLIFY=FALSE)
})
#' An S4 object for class AlignObj
#'
#' s is a point-wise similarity matrix between signalA and signalB.
#' Intermediate matrices M is calculated from s for alignment. Each cell of the Traceback
#' matrix has coordinate of its parent cell. path matrix is a binary matrix with ones indicating path
#' of maximum cumulative score.
#' GapOpen and GapExten are gap-opening and gap-extension penalties used by alignment algorithm. They
#' must be the same. indexA_aligned and indexB_aligned are aligned indices of signalA and SignalB.
#' The cumulative alignment score is in score vector.
#' @author Shubham Gupta, \email{shubh.gupta@mail.utoronto.ca}
#'
#' ORCID: 0000-0003-3500-8152
#'
#' License: (c) Author (2019) + GPL-3
#' Date: 2019-12-14
#' @importFrom methods setClass new
#' @seealso \code{\link{doAlignmentCpp}}
#' @export
AlignObj <- setClass(Class="AlignObj",
representation(M = "matrix", Traceback = "matrix",
optionalPaths = "matrix",
M_forw = "matrix",
signalA_len = "numeric", signalB_len = "numeric",
GapOpen = "numeric", GapExten = "numeric",
FreeEndGaps = "logical",
score_forw = "numeric", simScore_forw = "numeric",
nGaps = "numeric"),
contains = "AffineAlignObjMedium"
)
#' Converts instances of class AlignObj into list
#'
#' @author Shubham Gupta, \email{shubh.gupta@mail.utoronto.ca}
#'
#' ORCID: 0000-0003-3500-8152
#'
#' License: (c) Author (2019) + GPL-3
#' Date: 2020-03-31
#' @importFrom methods setMethod slot slotNames
#' @param x An object of class AlignObj
#' @return list
#' @export
setMethod("as.list", signature(x="AlignObj"), function(x) {
mapply(function(slotname) slot(x, slotname), slotNames(class(x)), SIMPLIFY=FALSE)
})
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