Quantitative features for mass spectrometry data

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Documentation for package ‘QFeatures’ version 1.12.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

addAssay	Quantitative MS QFeatures
addAssayLink	Links between Assays
addAssayLinkOneToOne	Links between Assays
adjacencyMatrix-method	Aggregate an assay's quantitative features
adjacencyMatrix<-	Aggregate an assay's quantitative features
aggcounts	Aggregate an assay's quantitative features
aggcounts-method	Aggregate an assay's quantitative features
aggregateFeatures	Aggregate an assay's quantitative features
aggregateFeatures-method	Aggregate an assay's quantitative features
AllGenerics	Placeholder for generics functions documentation
AssayLink	Links between Assays
assayLink	Links between Assays
AssayLink-class	Links between Assays
AssayLinks	Links between Assays
assayLinks	Links between Assays
AssayLinks-class	Links between Assays
c-method	Quantitative MS QFeatures
CharacterVariableFilter	Filter features based on their rowData
CharacterVariableFilter-class	Filter features based on their rowData
class:AssayLink	Links between Assays
class:AssayLinks	Links between Assays
class:QFeatures	Quantitative MS QFeatures
coerce-method	Quantitative MS QFeatures
coerce-QFeatures	Quantitative MS QFeatures
countUniqueFeatures	Count Unique Features
dims-method	Quantitative MS QFeatures
display	Interactive MultiAssayExperiment Explorer
dropEmptyAssays	Quantitative MS QFeatures
expandDataFrame	Reduces and expands a 'DataFrame'
feat1	Feature example data
feat2	Feature example data
feat3	Example 'QFeatures' object after processing
filterFeatures	Filter features based on their rowData
filterFeatures-method	Filter features based on their rowData
filterNA	Managing missing data
filterNA-method	Managing missing data
ft_na	Feature example data
hlpsms	hyperLOPIT PSM-level expression data
impute	Quantitative proteomics data imputation
impute-method	Quantitative proteomics data imputation
infIsNA	Managing missing data
infIsNA-method	Managing missing data
joinAssays	Join assays in a QFeatures object
logTransform	QFeatures processing
logTransform-method	QFeatures processing
longFormat	Quantitative MS QFeatures
missing-data	Managing missing data
names<--method	Quantitative MS QFeatures
ncols-method	Quantitative MS QFeatures
nNA	Managing missing data
nNA-method	Managing missing data
normalize	QFeatures processing
normalize-method	QFeatures processing
normalizeMethods	QFeatures processing
nrows-method	Quantitative MS QFeatures
NumericVariableFilter	Filter features based on their rowData
NumericVariableFilter-class	Filter features based on their rowData
plot.QFeatures	Quantitative MS QFeatures
QFeatures	Quantitative MS QFeatures
QFeatures-class	Quantitative MS QFeatures
QFeatures-filtering	Filter features based on their rowData
QFeatures-processing	QFeatures processing
rbindRowData	Quantitative MS QFeatures
readQFeatures	QFeatures from tabular data
readSummarizedExperiment	QFeatures from tabular data
reduceDataFrame	Reduces and expands a 'DataFrame'
removeAssay	Quantitative MS QFeatures
replaceAssay	Quantitative MS QFeatures
rowData-method	Quantitative MS QFeatures
rowData<--method	Quantitative MS QFeatures
rowDataNames	Quantitative MS QFeatures
scaleTransform	QFeatures processing
scaleTransform-method	QFeatures processing
selectRowData	Quantitative MS QFeatures
se_na2	Feature example data
show-method	Links between Assays
show-method	Quantitative MS QFeatures
subsetByFeature	Subset by feature name
subsetByFeature-method	Subset by feature name
sweep	QFeatures processing
sweep-method	QFeatures processing
unfoldDataFrame	Unfold a data frame
updateObject-method	Links between Assays
updateObject-method	Quantitative MS QFeatures
VariableFilter	Filter features based on their rowData
zeroIsNA	Managing missing data
zeroIsNA-method	Managing missing data
[-method	Links between Assays
[-method	Quantitative MS QFeatures
[[<--method	Quantitative MS QFeatures