peakPantheRAnnotation {peakPantheR} | R Documentation

## An S4 class to represent peakPantheR annotation results

### Description

The `peakPantheRAnnotation` class is designed to run and store peakPantheR parallel annotation results. Instances of the class are created with the `peakPantheRAnnotation` constructor function, which initialises an object of proper dimension with `spectraPaths` (set samples to process) and `targetFeatTable` (set compounds to target). `spectraPaths` is a character vector of spectra file paths. `targetFeatTable` is a `data.frame` of compounds to target as rows and parameters as columns: `cpdID` (int), `cpdName` (str), `rtMin` (float in seconds), `rt` (float in seconds, or NA), `rtMax` (float in seconds), `mzMin` (float), `mz` (float or NA), `mzMax` (float).

`peakPantheRAnnotation()`: create an instance of the `peakPantherAnnotation` class.

### Usage

    peakPantheRAnnotation(spectraPaths = NULL, targetFeatTable = NULL,
        cpdID = character(), cpdName = character(), ROI = data.frame(rtMin
        = numeric(), rt = numeric(), rtMax = numeric(), mzMin = numeric(), mz =
        numeric(), mzMax = numeric(), stringsAsFactors = FALSE),
        FIR = data.frame(rtMin = numeric(), rtMax = numeric(), mzMin =
        numeric(), mzMax = numeric(), stringsAsFactors = FALSE),
        uROI = data.frame(rtMin = numeric(), rt = numeric(), rtMax = numeric(),
        mzMin = numeric(), mz = numeric(), mzMax = numeric(), stringsAsFactors =
        FALSE), filepath = character(), cpdMetadata = data.frame(),
        spectraMetadata = data.frame(), acquisitionTime = character(),
        uROIExist = FALSE, useUROI = FALSE, useFIR = FALSE,
        TIC = numeric(), peakTables = list(), dataPoints = list(),
        peakFit = list(), isAnnotated = FALSE)

    peakPantheRAnnotation(spectraPaths = NULL, targetFeatTable = NULL,
        cpdID = character(), cpdName = character(), ROI = data.frame(rtMin
        = numeric(), rt = numeric(), rtMax = numeric(), mzMin = numeric(), mz =
        numeric(), mzMax = numeric(), stringsAsFactors = FALSE),
        FIR = data.frame(rtMin = numeric(), rtMax = numeric(), mzMin =
        numeric(), mzMax = numeric(), stringsAsFactors = FALSE),
        uROI = data.frame(rtMin = numeric(), rt = numeric(), rtMax = numeric(),
        mzMin = numeric(), mz = numeric(), mzMax = numeric(), stringsAsFactors =
        FALSE), filepath = character(), cpdMetadata = data.frame(),
        spectraMetadata = data.frame(), acquisitionTime = character(),
        uROIExist = FALSE, useUROI = FALSE, useFIR = FALSE,
        TIC = numeric(), peakTables = list(), dataPoints = list(),
        peakFit = list(), isAnnotated = FALSE)

### Arguments

`spectraPaths` | NULL or a character vector of spectra file paths, to set samples to process
`targetFeatTable` | NULL or a `data.frame` of compounds to target as rows and parameters as columns: `cpdID` (str), `cpdName` (str), `rtMin` (float in seconds), `rt` (float in seconds, or NA), `rtMax` (float in seconds), `mzMin` (float), `mz` (float or NA), `mzMax` (float). Set compounds to target.
`cpdID` | A character vector of compound IDs, of length number of compounds
`cpdName` | A character vector of compound names, of length number of compounds
`ROI` | A data.frame of Regions Of Interest (ROI) with compounds as row and ROI parameters as columns: `rtMin` (float in seconds), `rt` (float in seconds, or NA), `rtMax` (float in seconds), `mzMin` (float), `mz` (float or NA), `mzMax` (float).
`FIR` | A data.frame of Fallback Integration Regions (FIR) with compounds as row and FIR parameters as columns: `rtMin` (float in seconds), `rtMax` (float in seconds), `mzMin` (float), `mzMax` (float).
`uROI` | A data.frame of updated Regions Of Interest (uROI) with compounds as row and uROI parameters as columns: `rtMin` (float in seconds), `rt` (float in seconds, or NA), `rtMax` (float in seconds), `mzMin` (float), `mz` (float or NA), `mzMax` (float).
`filepath` | A character vector of file paths, of length number of spectra files
`cpdMetadata` | A data.frame of compound metadata, with compounds as row and metadata as columns
`spectraMetadata` | A data.frame of sample metadata, with samples as row and metadata as columns
`acquisitionTime` | A character vector of acquisition date-time (converted from POSIXct) or NA
`uROIExist` | A logical stating if uROI have been set
`useUROI` | A logical stating if uROI are to be used
`useFIR` | A logical stating if FIR are to be used
`TIC` | A numeric vector of TIC or NA, of length number of spectra files
`peakTables` | A list of peakTable data.frame, of length number of spectra files. Each peakTable data.frame has compounds as rows and peak annotation results as columns.
`dataPoints` | A list of length number of spectra files. Each list element is a ROIsDataPoint list of `data.frame` of raw data points for each ROI/uROI (retention time 'rt', mass 'mz' and intensity 'int' (as column) of each raw data points (as row))
`peakFit` | A list of length number of spectra files. Each list element is a curveFit list of `peakPantheR_curveFit` or NA for each ROI
`isAnnotated` | A logical stating in the annotation took place

### Details

The `validObject` method ensures the conformity of an object to the `peakPantheRAnnotation-class`. The number of compounds is based on `cpdID()` length, and the number of samples is based on `filepath()` length. Slot type is not checked as `setClass` enforces it. peakTables and EICs type are checked on the first list element. `annotationTable(object, column)` where column is a column from peakTable, returns a data.frame of values with the samples as rows, ROI as columns.

### Value

(peakPantheRAnnotation)

### Slots

`cpdID`

  A character vector of compound IDs, of length number of compounds

`cpdName`

  A character vector of compound names, of length number of compounds

`ROI`

  A data.frame of Regions Of Interest (ROI) with compounds as row and ROI parameters as columns: `rtMin` (float in seconds), `rt` (float in seconds, or NA), `rtMax` (float in seconds), `mzMin` (float), `mz` (float or NA), `mzMax` (float).

`FIR`

  A data.frame of Fallback Integration Regions (FIR) with compounds as row and FIR parameters as columns: `rtMin` (float in seconds), `rtMax` (float in seconds), `mzMin` (float), `mzMax` (float).

`uROI`

  A data.frame of updated Regions Of Interest (uROI) with compounds as row and uROI parameters as columns: `rtMin` (float in seconds), `rt` (float in seconds, or NA), `rtMax` (float in seconds), `mzMin` (float), `mz` (float or NA), `mzMax` (float).

`filepath`

  A character vector of file paths, of length number of spectra files

`cpdMetadata`

  A data.frame of compound metadata, with compounds as row and metadata as columns

`spectraMetadata`

  A data.frame of sample metadata, with samples as row and metadata as columns

`acquisitionTime`

  A character vector of acquisition date-time (converted from POSIXct) or NA

`uROIExist`

  A logical stating if uROI have been set

`useUROI`

  A logical stating if uROI are to be used

`useFIR`

  A logical stating if FIR are to be used

`TIC`

  A numeric vector of TIC or NA, of length number of spectra files

`peakTables`

  A list of peakTable data.frame, of length number of spectra files. Each peakTable data.frame has compounds as rows and peak annotation results as columns.

`dataPoints`

  A list of length number of spectra files. Each list element is a ROIsDataPoint list of `data.frame` of raw data points for each ROI/uROI (retention time 'rt', mass 'mz' and intensity 'int' (as column) of each raw data points (as row))

`peakFit`

  A list of length number of spectra files. Each list element is a curveFit list of `peakPantheR_curveFit` or NA for each ROI

`isAnnotated`

  A logical stating if the annotation has taken place

  #### Details:

  The peakTables `data.frame` are structured as follow:

  cpdID | database compound ID
  cpdName | compound name
  found | was the peak found
  rt | retention time of peak apex (sec)
  rtMin | leading edge of peak retention time (sec) determined at 0.5% of apex intensity
  rtMax | trailing edge of peak retention time (sec) determined at 0.5% of apex intensity
  mz | weighted (by intensity) mean of peak m/z across scans
  mzMin | m/z peak minimum (between rtMin, rtMax)
  mzMax | m/z peak maximum (between rtMin, rtMax)
  peakArea | integrated peak area
  peakAreaRaw | integrated peak area from raw data points
  maxIntMeasured | maximum peak intensity in raw data
  maxIntPredicted | maximum peak intensity based on curve fit
  is_filled | Logical indicate if the feature was integrated using FIR (Fallback Integration Region)
  ppm_error | difference in ppm between the expected and measured m/z
  rt_dev_sec | difference in seconds between the expected and measured rt
  tailingFactor | the tailing factor is a measure of peak tailing.It is defined as the distance from the front slope of the peak to the back slope divided by twice the distance from the center line of the peak to the front slope, with all measurements made at 5% of the maximum peak height. The tailing factor of a peak will typically be similar to the asymmetry factor for the same peak, but the two values cannot be directly converted
  asymmetryFactor | the asymmetry factor is a measure of peak tailing. It is defined as the distance from the center line of the peak to the back slope divided by the distance from the center line of the peak to the front slope, with all measurements made at 10% of the maximum peak height. The asymmetry factor of a peak will typically be similar to the tailing factor for the same peak, but the two values cannot be directly converted

### See Also

Other peakPantheR: `peakPantheR_parallelAnnotation()`, `peakPantheR_singleFileSearch()`

Other parallelAnnotation: `peakPantheR_parallelAnnotation()`, `peakPantheR_singleFileSearch()`

### Examples

    if(requireNamespace('faahKO')){
    ## Initialise a peakPantheRAnnotation object with 3 samples and 2 targeted
    ## compounds

    # Paths to spectra files
    library(faahKO)
    spectraPaths <- c(system.file('cdf/KO/ko15.CDF', package = 'faahKO'),
                        system.file('cdf/KO/ko16.CDF', package = 'faahKO'),
                        system.file('cdf/KO/ko18.CDF', package = 'faahKO'))

    # targetFeatTable
    targetFeatTable <- data.frame(matrix(vector(),2,8,dimnames=list(c(),
                        c('cpdID','cpdName','rtMin','rt','rtMax','mzMin','mz',
                        'mzMax'))), stringsAsFactors=FALSE)
    targetFeatTable[1,] <- c('ID-1', 'Cpd 1', 3310., 3344.888, 3390., 522.194778,
                            522.2, 522.205222)
    targetFeatTable[2,] <- c('ID-2', 'Cpd 2', 3280., 3385.577, 3440., 496.195038,
                            496.2, 496.204962)
    targetFeatTable[,c(3:8)] <- vapply(targetFeatTable[,c(3:8)], as.numeric,
                                        FUN.VALUE=numeric(2))

    annotation <- peakPantheRAnnotation(spectraPaths=spectraPaths,
                                        targetFeatTable=targetFeatTable)

    annotation
    # An object of class peakPantheRAnnotation
    #  2 compounds in 3 samples.
    #   updated ROI do not exist (uROI)
    #   does not use updated ROI (uROI)
    #   does not use fallback integration regions (FIR)
    #   is not annotated

    slotNames(annotation)
    # [1] 'cpdID'       'cpdName'      'ROI'             'FIR'       'uROI'
    # [6] 'filepath'    'cpdMetadata'  'spectraMetadata' 'acquisitionTime'
    # [10] 'uROIExist'  'useUROI'      'useFIR'          'TIC'       'peakTables'
    # [15] 'dataPoints' 'peakFit'      'isAnnotated'

    ## Slots shouldn't be accessed directly, accessors are available:
    cpdID(annotation)
    # [1] 'ID-1' 'ID-2'
    cpdName(annotation)
    # [1] 'Cpd 1' 'Cpd 2'
    ROI(annotation)
    #   rtMin       rt rtMax    mzMin    mz    mzMax cpdID cpdName
    # 1  3310 3344.888  3390 522.1948 522.2 522.2052  ID-1   Cpd 1
    # 2  3280 3385.577  3440 496.1950 496.2 496.2050  ID-2   Cpd 2
    FIR(annotation)
    #   rtMin rtMax mzMin mzMax cpdID cpdName
    # 1    NA    NA    NA    NA  ID-1   Cpd 1
    # 2    NA    NA    NA    NA  ID-2   Cpd 2
    uROI(annotation)
    #   rtMin rt rtMax mzMin mz mzMax cpdID cpdName
    # 1    NA NA    NA    NA NA    NA  ID-1   Cpd 1
    # 2    NA NA    NA    NA NA    NA  ID-2   Cpd 2
    filepath(annotation)
    # [1] 'C:/R/R-3.6.0/library/faahKO/cdf/KO/ko15.CDF'
    # [2]'C:/R/R-3.6.0/library/faahKO/cdf/KO/ko16.CDF'
    # [3] 'C:/R/R-3.6.0/library/faahKO/cdf/KO/ko18.CDF'
    cpdMetadata(annotation)
    # data frame with 0 columns and 2 rows
    spectraMetadata(annotation)
    # data frame with 0 columns and 3 rows
    acquisitionTime(annotation)
    # [1] NA NA NA
    uROIExist(annotation)
    # [1] FALSE
    useUROI(annotation)
    # [1] FALSE
    useFIR(annotation)
    # [1] FALSE
    TIC(annotation)
    # [1] NA NA NA
    peakTables(annotation)
    # [[1]]
    # NULL
    # [[2]]
    # NULL
    # [[3]]
    # NULL
    dataPoints(annotation)
    # [[1]]
    # NULL
    # [[2]]
    # NULL
    # [[3]]
    # NULL
    peakFit(annotation)
    # [[1]]
    # NULL
    # [[2]]
    # NULL
    # [[3]]
    # NULL
    isAnnotated(annotation)
    # [1] FALSE
    }

[Package peakPantheR version 1.8.0 Index]