precursorIntensityMean: MS2 precursor intensity distribution mean (MS:4000117),...

In tnaake/MsQuality: MsQuality - Quality metric calculation from Spectra and MsExperiment objects

MS2 precursor intensity distribution mean (MS:4000117), identified MS2 precursor intensity distribution mean (MS:4000163), or unidentified MS2 precursor intensity distribution mean (MS:4000164)

Description

MS:4000117
"From the distribution of MS2 precursor intensities, the mean. The intensity distribution of the precursors informs about the dynamic range of the acquisition." [PSI:MS]

MS:4000163
"From the distribution of identified MS2 precursor intensities, the mean. The intensity distribution of the identified precursors informs about the dynamic range of the acquisition in relation to identifiability." [PSI:MS]

MS:4000164
"From the distribution of unidentified MS2 precursor intensities, the mean. The intensity distribution of the unidentified precursors informs about the dynamic range of the acquisition in relation to identifiability." [PSI:MS]

The metric is calculated as follows:
(1) the Spectra object is filtered according to the MS level,
(2) the intensity of the precursor ions within the Spectra object are obtained,
(3) the mean of the precursor intensity values is obtained (NA values are removed) and returned.

Usage

precursorIntensityMean(
  spectra,
  msLevel = 1L,
  identificationLevel = c("all", "identified", "unidentified"),
  ...
)

Arguments

spectra	Spectra object
msLevel	integer
identificationLevel	character(1), one of "all", "identified", or "unidentified"
...	not used here

Details

MS:4000117
is_a: MS:4000003 ! single value
relationship: has_metric_category MS:4000009 ! ID free metric
relationship: has_metric_category MS:4000022 ! MS2 metric
relationship: has_value_concept STATO:0000401 ! sample mean
relationship: has_value_type xsd:float ! The allowed value-type for this CV term
relationship: has_units MS:1000043 ! intensity unit

MS:4000163
is_a: MS:4000003 ! single value
is_a: MS:4000008 ! ID based
relationship: has_metric_category MS:4000022 ! MS2 metric
relationship: has_value_concept STATO:0000401 ! sample mean
relationship: has_value_type xsd:float ! The allowed value-type for this CV term
relationship: has_units MS:1000043 ! intensity unit

MS:4000164
is_a: MS:4000003 ! single value
is_a: MS:4000008 ! ID based
relationship: has_metric_category MS:4000022 ! MS2 metric
relationship: has_value_concept STATO:0000401 ! sample mean
relationship: has_value_type xsd:float ! The allowed value-type for this CV term
relationship: has_units MS:1000043 ! intensity unit

Value

numeric(1)

Note

The Spectra object might contain features that were (not) identified. If the calculation needs to be done according to *MS:4000163*/*MS:4000164*, the Spectra object should be prepared accordingly.

Author(s)

Thomas Naake

Examples

library(S4Vectors)
library(Spectra)

spd <- DataFrame(
    msLevel = c(2L, 2L, 2L),
    polarity = c(1L, 1L, 1L),
    id = c("HMDB0000001", "HMDB0000001", "HMDB0001847"),
    name = c("1-Methylhistidine", "1-Methylhistidine", "Caffeine"))
## Assign m/z and intensity values
spd$mz <- list(
    c(109.2, 124.2, 124.5, 170.16, 170.52),
    c(83.1, 96.12, 97.14, 109.14, 124.08, 125.1, 170.16),
    c(56.0494, 69.0447, 83.0603, 109.0395, 110.0712,
        111.0551, 123.0429, 138.0662, 195.0876))
spd$intensity <- list(
    c(3.407, 47.494, 3.094, 100.0, 13.240),
    c(6.685, 4.381, 3.022, 16.708, 100.0, 4.565, 40.643),
    c(0.459, 2.585, 2.446, 0.508, 8.968, 0.524, 0.974, 100.0, 40.994))
spd$precursorIntensity <- c(100.0, 100.0, 100.0)     
sps <- Spectra(spd)
precursorIntensityMean(spectra = sps, msLevel = 2L)

tnaake/MsQuality documentation built on Feb. 25, 2024, 7:32 p.m.