addReducedDims | Add scplainer Component Analysis Results |
aggregateFeaturesOverAssays | Aggregate features over multiple assays |
aggregateFeaturesOverAssays-deprecated | Aggregate features over multiple assays |
class:ScpModel | Class to store the results of single-cell proteomics modelling |
class:ScpModelFit | Class to store the components of an estimated model for a feature |
computeSCR | Compute the sample over carrier ratio (SCR) |
cumulativeSensitivityCurve | Cumulative sensitivity curve |
divideByReference | Divide assay columns by a reference column |
jaccardIndex | Compute the pairwise Jaccard index |
leduc_minimal | Minimally processed single-cell proteomics data set |
medianCVperCell | Compute the median coefficient of variation (CV) per cell |
mqScpData | Example MaxQuant/SCoPE2 output |
normalizeSCP | Normalize single-cell proteomics (SCP) data |
pep2qvalue | Compute q-values |
predictSensitivity | Cumulative sensitivity curve |
readSCP | Read single-cell proteomics tabular data |
readSCPfromDIANN | Read single-cell proteomics tabular data |
readSingleCellExperiment | Read single-cell proteomics tabular data |
reportMissingValues | Four metrics to report missing values |
sampleAnnotation | Single cell sample annotation |
scp1 | Single Cell QFeatures data |
scpAnnotateResults | Annotate single-cell proteomics analysis output |
scpComponentAggregate | Component analysis for single cell proteomics |
scpComponentAnalysis | Component analysis for single cell proteomics |
scpComponentBiplot | Component analysis for single cell proteomics |
scpComponentPlot | Component analysis for single cell proteomics |
scpDifferentialAggregate | Differential abundance analysis for single-cell proteomics |
scpDifferentialAnalysis | Differential abundance analysis for single-cell proteomics |
scpKeepEffect | Correct single-cell proteomics data |
ScpModel | Class to store the results of single-cell proteomics modelling |
ScpModel-class | Class to store the results of single-cell proteomics modelling |
ScpModel-ComponentAnalysis | Component analysis for single cell proteomics |
ScpModel-DataCorrection | Correct single-cell proteomics data |
ScpModel-DifferentialAnalysis | Differential abundance analysis for single-cell proteomics |
ScpModel-VarianceAnalysis | Analysis of variance for single-cell proteomics |
ScpModel-Workflow | Modelling single-cell proteomics data |
scpModelComponentMethods | Component analysis for single cell proteomics |
scpModelEffects | Class to store the results of single-cell proteomics modelling |
scpModelFilterNPRatio | Class to store the results of single-cell proteomics modelling |
scpModelFilterPlot | Modelling single-cell proteomics data |
scpModelFilterThreshold | Class to store the results of single-cell proteomics modelling |
scpModelFilterThreshold<- | Class to store the results of single-cell proteomics modelling |
ScpModelFit | Class to store the components of an estimated model for a feature |
ScpModelFit-class | Class to store the components of an estimated model for a feature |
scpModelFormula | Class to store the results of single-cell proteomics modelling |
scpModelInput | Class to store the results of single-cell proteomics modelling |
scpModelNames | Class to store the results of single-cell proteomics modelling |
scpModelResiduals | Class to store the results of single-cell proteomics modelling |
scpModelWorkflow | Modelling single-cell proteomics data |
scpRemoveBatchEffect | Correct single-cell proteomics data |
scpVarianceAggregate | Analysis of variance for single-cell proteomics |
scpVarianceAnalysis | Analysis of variance for single-cell proteomics |
scpVariancePlot | Analysis of variance for single-cell proteomics |
scpVolcanoPlot | Differential abundance analysis for single-cell proteomics |