generateComponentsCliqueMS: Componentization of adducts, isotopes etc. with cliqueMS

In rickhelmus/patRoon: Workflows for Mass-Spectrometry Based Non-Target Analysis

Componentization of adducts, isotopes etc. with cliqueMS

Description

Uses cliqueMS to generate components using the cliqueMS::getCliques function.

Usage

generateComponentsCliqueMS(fGroups, ...)

## S4 method for signature 'featureGroups'
generateComponentsCliqueMS(
  fGroups,
  ionization = NULL,
  maxCharge = 1,
  maxGrade = 2,
  ppm = 10,
  adductInfo = NULL,
  absMzDev = 0.005,
  minSize = 2,
  relMinAdductAbundance = 0.75,
  adductConflictsUsePref = TRUE,
  NMConflicts = c("preferential", "mostAbundant", "mostIntense"),
  prefAdducts = c("[M+H]+", "[M-H]-"),
  extraOptsCli = NULL,
  extraOptsIso = NULL,
  extraOptsAnn = NULL,
  parallel = TRUE
)

## S4 method for signature 'featureGroupsSet'
generateComponentsCliqueMS(fGroups, ionization = NULL, ...)

Arguments

fGroups	featureGroups object for which components should be generated.
...	\setsWF Further arguments passed to the non-sets workflow method.
ionization	Which ionization polarity was used to generate the data: should be "positive" or "negative". If the featureGroups object has adduct annotations, and ionization=NULL, the ionization will be detected automatically. \setsWF This parameter is not supported for sets workflows, as the ionization will always be detected automatically.
maxCharge, maxGrade, ppm	Arguments passed to cliqueMS::getIsotopes and/or cliqueMS::getAnnotation.
adductInfo	Sets the adinfo argument to cliqueMS::getAnnotation. If NULL then the default adduct information from cliqueMS is used (i.e. the positive.adinfo/negative.adinfo package datasets).
absMzDev	Maximum absolute m/z deviation.
minSize	The minimum size of a component. Smaller components than this size will be removed. See note below.
relMinAdductAbundance	The minimum relative abundance (‘⁠0-1⁠’) that an adduct should be assigned to features within the same feature group. See the ⁠Feature components⁠ section for more details.
adductConflictsUsePref	If set to TRUE, and not all adduct assigments to the features within a feature group are equal and at least one of those adducts is a preferential adduct (prefAdducts argument), then only the features with (the lowest ranked) preferential adduct are considered. In all other cases or when adductConflictsUsePref=FALSE only features with the most frequently assigned adduct is considered. See the ⁠Feature components⁠ section for more details.
NMConflicts	The strategies to employ when not all neutral masses within a component are equal. Valid options are: "preferential", "mostAbundant" and "mostIntense". Multiple strategies are possible, and will be executed in the given order until one succeeds. See the ⁠Feature components⁠ section for more details.
prefAdducts	A character vector with one or more preferential adducts. See the ⁠Feature components⁠ section for more details.
extraOptsCli, extraOptsIso, extraOptsAnn	Named list with further arguments to be passed to cliqueMS::getCliques, cliqueMS::getIsotopes and cliqueMS::getAnnotation, respectively. Set to NULL to ignore.
parallel	If set to TRUE then code is executed in parallel through the futures package. Please see the parallelization section in the handbook for more details.

Details

This function uses cliqueMS to generate components. This function is called when calling generateComponents with algorithm="cliquems".

The grouping of features in each component ('clique') is based on high similarity of chromatographic elution profiles. All features in each component are then annotated with the cliqueMS::getIsotopes and cliqueMS::getAnnotation functions.

Value

A componentsFeatures derived object.

Feature components

The returned components are based on so called feature components. Unlike other algorithms, components are first made on a feature level (per analysis), instead of for complete feature groups. In the final step the feature components are converted to 'regular' components by employing a consensus approach with the following steps:

1. If an adduct assigned to a feature only occurs as a minority compared to other adduct assigments within the same feature group, it is considered as an outlier and removed accordingly (controlled by the relMinAdductAbundance argument).

2. For features within a feature group, only keep their adduct assignment if it occurs as the most frequent or is preferential (controlled by adductConflictsUsePref and prefAdducts arguments).

3. Components are made by combining the feature groups for which at least one of their features are jointly present in the same feature component.

4. Conflicts of neutral mass assignments within a component (i.e. not all are the same) are dealt with. Firstly, all feature groups with an unknown neutral mass are split in another component. Then, if conflicts still occur, the feature groups with similar neutral mass (determined by absMzDev argument) are grouped. Depending on the NMConflicts argument, the group with one or more preferential adduct(s) or that is the largest or most intense is selected, whereas others are removed from the component. In case multiple groups contain preferential adducts, and ‘⁠>1⁠’ preferential adducts are available, the group with the adduct that matches first in prefAdducts 'wins'. In case of ties, one of the next strategies in NMConflicts is tried.

5. If a feature group occurs in multiple components it will be removed completely.

6. the minSize filter is applied.

Sets workflows

In a sets workflow the componentization is first performed for each set independently. The resulting components are then all combined in a componentsSet object. Note that the components themselves are never merged. The components are renamed to include the set name from which they were generated (e.g. "CMP1" becomes "CMP1-positive").

References

\insertRef

Senan2019patRoon

See Also

generateComponents for more details and other algorithms.

rickhelmus/patRoon documentation built on Nov. 22, 2024, 3:11 p.m.