Package: MsFeatures 1.13.0

Johannes Rainer

MsFeatures: Functionality for Mass Spectrometry Features

The MsFeature package defines functionality for Mass Spectrometry features. This includes functions to group (LC-MS) features based on some of their properties, such as retention time (coeluting features), or correlation of signals across samples. This packge hence allows to group features, and its results can be used as an input for the `QFeatures` package which allows to aggregate abundance levels of features within each group. This package defines concepts and functions for base and common data types, implementations for more specific data types are expected to be implemented in the respective packages (such as e.g. `xcms`). All functionality of this package is implemented in a modular way which allows combination of different grouping approaches and enables its re-use in other R packages.

Authors:Johannes Rainer [aut, cre]

MsFeatures_1.13.0.tar.gz
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MsFeatures.pdf |MsFeatures.html
MsFeatures/json (API)
NEWS

# Install 'MsFeatures' in R:
install.packages('MsFeatures', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/rformassspectrometry/msfeatures/issues

Datasets:
  • se - Quantified LC-MS preprocessing result test data

On BioConductor:MsFeatures-1.13.0(bioc 3.20)MsFeatures-1.12.0(bioc 3.19)

bioconductor-package

9 exports 2.70 score 34 dependencies 13 dependents

Last updated 2 months agofrom:8e8ebfa6a0

Exports:AbundanceSimilarityParamcorRowsfeatureGroupsfeatureGroups<-groupClosestgroupConsecutivegroupFeaturesgroupSimilarityMatrixSimilarRtimeParam

Dependencies:abindaskpassBiobaseBiocGenericsclueclustercrayoncurlDelayedArrayGenomeInfoDbGenomeInfoDbDataGenomicRangeshttrIRangesjsonlitelatticeMASSMatrixMatrixGenericsmatrixStatsmimeMsCoreUtilsopensslProtGenericsR6RcppS4ArraysS4VectorsSparseArraySummarizedExperimentsysUCSC.utilsXVectorzlibbioc

Grouping Mass Spectrometry Features

Rendered fromMsFeatures.Rmdusingknitr::rmarkdownon Jun 30 2024.

Last update: 2021-01-25
Started: 2021-01-25

Readme and manuals

Help Manual

Help pageTopics
Correlate rows of a numeric matrixcorRows
Get or set feature group definitions from an objectfeatureGroups featureGroups,SummarizedExperiment-method featureGroups<- featureGroups<-,SummarizedExperiment-method
Group values with differences below thresholdgroupClosest
Grouping of sorted values into sets with smallest differencesgroupConsecutive
General Feature Grouping ConceptgroupFeatures
Group features based on abundance similarities across samplesAbundanceSimilarityParam groupFeatures,matrix,AbundanceSimilarityParam-method groupFeatures,SummarizedExperiment,AbundanceSimilarityParam-method groupFeatures-similar-abundance
Group features based on approximate retention timesgroupFeatures,numeric,SimilarRtimeParam-method groupFeatures,SummarizedExperiment,SimilarRtimeParam-method groupFeatures-similar-rtime SimilarRtimeParam
Group rows of a diagonal matrix using a thresholdgroupSimilarityMatrix
Quantified LC-MS preprocessing result test datase