Man pages for DAPAR
Tools for the Differential Analysis of Proteins Abundance with R
| addOriginOfValue | Sets the OriginOfValues dataframe |
| aggregateIter | xxxx |
| aggregateIterParallel | xxxx |
| aggregateMean | Compute the intensity of proteins as the mean of the... |
| aggregateSum | Compute the intensity of proteins with the sum of the... |
| aggregateTopn | Compute the intensity of proteins as the sum of the... |
| averageIntensities | Average protein/peptide abundances for each condition studied |
| barplotEnrichGO_HC | A barplot that shows the result of a GO enrichment, using the... |
| barplotGroupGO_HC | A barplot which shows the result of a GO classification,... |
| boxPlotD_HC | Builds a boxplot from a dataframe using the library... |
| BuildAdjacencyMatrix | Function matrix of appartenance group |
| BuildColumnToProteinDataset | creates a column for the protein dataset after agregation by... |
| BuildColumnToProteinDataset_par | creates a column for the protein dataset after agregation by... |
| buildGraph | Display a CC |
| BuildPalette | Builds a complete color palette for the conditions given in... |
| checkClusterability | Prepare the data for subsequent clustering |
| check.conditions | Check if the design is valid |
| check.design | Check if the design is valid |
| classic1wayAnova | Function to perform a One-way Anova statistical test on a... |
| compareNormalizationD_HC | Builds a plot from a dataframe. Same as compareNormalizationD... |
| compute_t_tests | xxxxxx |
| corrMatrixD_HC | Displays a correlation matrix of the quantitative data of the... |
| CountPep | Compute the number of peptides used to aggregate proteins |
| createMSnset | Creates an object of class 'MSnSet' from text file |
| CVDistD | Distribution of CV of entities |
| CVDistD_HC | Distribution of CV of entities |
| dapar_hc_chart | Customised resetZoomButton of highcharts plots |
| dapar_hc_ExportMenu | Customised contextual menu of highcharts plots |
| deleteLinesFromIndices | Delete the lines in the matrix of intensities and the... |
| densityPlotD | Builds a densityplot from a dataframe |
| densityPlotD_HC | Builds a densityplot from a dataframe |
| diffAnaComputeFDR | Computes the FDR corresponding to the p-values of the... |
| diffAnaGetSignificant | Returns a MSnSet object with only proteins significant after... |
| diffAnaSave | Returns a 'MSnSet' object with the results of the... |
| diffAnaVolcanoplot | Volcanoplot of the differential analysis |
| diffAnaVolcanoplot_rCharts | Volcanoplot of the differential analysis |
| display.CC.visNet | Display a CC |
| enrich_GO | Calculates GO enrichment classes for a given list of... |
| finalizeAggregation | Finalizes the aggregation process |
| findMECBlock | Finds the LAPALA into a 'MSnSet' object |
| formatLimmaResult | xxxx |
| formatPHResults | Extract logFC and raw pvalues from multiple post-hoc models... |
| fudge2LRT | Heuristic to choose the value of the hyperparameter (fudge... |
| Get_AllComparisons | Returns list that contains a list of the statistical tests... |
| GetDetailedNbPeptides | Computes the detailed number of peptides for each protein |
| GetDetailedNbPeptidesUsed | Computes the detailed number of peptides used for aggregating... |
| getIndicesConditions | Gets the conditions indices. |
| getIndicesOfLinesToRemove | Get the indices of the lines to delete, based on a prefix... |
| getListNbValuesInLines | Returns the possible number of values in lines in the data |
| GetNbPeptidesUsed | Computes the number of peptides used for aggregating each... |
| getNumberOf | Number of lines with prefix |
| getNumberOfEmptyLines | Returns the number of empty lines in the data |
| get.pep.prot.cc | Build the list of connex composant of the adjacency matrix |
| getPourcentageOfMV | Percentage of missing values |
| getProcessingInfo | Returns the contains of the slot processing of an object of... |
| getProteinsStats | Computes the number of proteins that are only defined by... |
| getQuantile4Imp | Quantile imputation value definition |
| getTextForAggregation | Build the text information for the Aggregation process |
| getTextForAnaDiff | Build the text information for the Aggregation process |
| getTextForFiltering | Build the text information for the filtering process |
| getTextForGOAnalysis | Build the text information for the Aggregation process |
| getTextForHypothesisTest | Build the text information for the hypothesis test process |
| getTextForNewDataset | Build the text information for a new dataset |
| getTextForNormalization | Build the text information for the Normalization process |
| getTextForpeptideImputation | Build the text information for the peptide Imputation process |
| getTextForproteinImputation | Build the text information for the protein Imputation process |
| GlobalQuantileAlignment | Normalisation GlobalQuantileAlignement |
| GOAnalysisSave | Returns an 'MSnSet' object with the results of the GO... |
| GraphPepProt | Function to create a histogram that shows the repartition of... |
| group_GO | Calculates the GO profile of a vector of genes/proteins at a... |
| hc_logFC_DensityPlot | Density plots of logFC values |
| hc_mvTypePlot2 | Distribution of Observed values with respect to intensity... |
| heatmapD | This function is a wrapper to 'heatmap.2' that displays... |
| heatmap.DAPAR | This function is inspired from the function 'heatmap.2' that... |
| histPValue_HC | Plots a histogram ov p-values |
| impute.detQuant | Deterministic imputation |
| impute.pa2 | Missing values imputation from a 'MSnSet' object |
| inner.aggregate.iter | xxxx |
| inner.aggregate.topn | xxxx |
| inner.mean | xxxx |
| inner.sum | xxxx |
| is.MV | Similar to the function 'is.na' but focused on the equality... |
| is.OfType | Similar to the function 'is.na' but focused on the equality... |
| LH0 | xxxxxx |
| LH0.lm | xxxxxx |
| LH1 | xxxxxx |
| LH1.lm | xxxxxx |
| limmaCompleteTest | Computes a hierarchical differential analysis |
| listSheets | This function returns the list of the sheets names in a Excel... |
| LOESS | Normalisation LOESS |
| make.contrast | Builds the contrast matrix |
| make.design | Builds the design matrix |
| make.design.1 | Builds the design matrix for designs of level 1 |
| make.design.2 | Builds the design matrix for designs of level 2 |
| make.design.3 | Builds the design matrix for designs of level 3 |
| MeanCentering | Normalisation MeanCentering |
| mvFilter | Filter lines in the matrix of intensities w.r.t. some... |
| mvFilterFromIndices | Filter lines in the matrix of intensities w.r.t. some... |
| mvFilterGetIndices | Filter lines in the matrix of intensities w.r.t. some... |
| mvHisto_HC | Histogram of missing values |
| mvImage | Heatmap of missing values |
| mvPerLinesHisto_HC | Bar plot of missing values per lines using highcharter |
| mvPerLinesHistoPerCondition_HC | Bar plot of missing values per lines and per condition |
| my_hc_chart | Customised resetZoomButton of highcharts plots |
| my_hc_ExportMenu | Customised contextual menu of highcharts plots |
| nonzero | Retrieve the indices of non-zero elements in sparse matrices |
| normalizeMethods.dapar | List normalization methods with tracking option |
| NumericalFiltering | Removes lines in the dataset based on numerical conditions. |
| NumericalgetIndicesOfLinesToRemove | Get the indices of the lines to delete, based on a prefix... |
| pepa.test | PEptide based Protein differential Abundance test |
| plotJitter | Jitter plot of CC |
| plotJitter_rCharts | Display a a jitter plot for CC |
| plotPCA_Eigen | Plots the eigen values of PCA |
| plotPCA_Eigen_hc | Plots the eigen values of PCA with the highcharts library |
| plotPCA_Ind | Plots individuals of PCA |
| plotPCA_Var | Plots variables of PCA |
| postHocTest | Post-hoc tests for classic 1-way ANOVA |
| proportionConRev_HC | Barplot of proportion of contaminants and reverse |
| QuantileCentering | Normalisation QuantileCentering |
| rbindMSnset | Similar to the function 'rbind' but applies on two subsets of... |
| readExcel | This function reads a sheet of an Excel file and put the data... |
| reIntroduceMEC | Put back LAPALA into a 'MSnSet' object |
| removeLines | Removes lines in the dataset based on a prefix string. |
| samLRT | xxxxxx |
| saveParameters | Saves the parameters of a tool in the pipeline of Prostar |
| scatterplotEnrichGO_HC | A dotplot that shows the result of a GO enrichment, using the... |
| setMEC | Sets the MEC tag in the OriginOfValues |
| splitAdjacencyMat | splits an adjacency matrix into specific and shared |
| StringBasedFiltering | Removes lines in the dataset based on a prefix strings... |
| StringBasedFiltering2 | Removes lines in the dataset based on a prefix strings. |
| SumByColumns | Normalisation SumByColumns |
| test.design | Check if xxxxxx |
| translatedRandomBeta | Generator of simulated values |
| univ_AnnotDbPkg | Returns the totality of ENTREZ ID (gene id) of an OrgDb... |
| violinPlotD | Builds a violinplot from a dataframe |
| visualizeClusters | Visualize the clusters according to pvalue thresholds |
| vsn | Normalisation vsn |
| wrapperCalibrationPlot | Performs a calibration plot on an 'MSnSet' object, calling... |
| wrapperClassic1wayAnova | Wrapper for One-way Anova statistical test |
| wrapper.compareNormalizationD_HC | Builds a plot from a dataframe |
| wrapper.corrMatrixD_HC | Displays a correlation matrix of the quantitative data of the... |
| wrapper.CVDistD | Distribution of CV of entities |
| wrapper.CVDistD_HC | Distribution of CV of entities |
| wrapper.dapar.impute.mi | Missing values imputation using the LSimpute algorithm. |
| wrapper.hc_mvTypePlot2 | Distribution of observed values with respect to intensity... |
| wrapper.heatmapD | This function is a wrapper to 'heatmap.2' that displays... |
| wrapper.impute.detQuant | Wrapper of the function 'impute.detQuant' for objects of... |
| wrapper.impute.fixedValue | Missing values imputation from a 'MSnSet' object |
| wrapper.impute.KNN | KNN missing values imputation from a 'MSnSet' object |
| wrapper.impute.mle | Imputation of peptides having no values in a biological... |
| wrapper.impute.pa | Imputation of peptides having no values in a biological... |
| wrapper.impute.pa2 | Missing values imputation from a 'MSnSet' object |
| wrapper.impute.slsa | Imputation of peptides having no values in a biological... |
| wrapper.mvHisto_HC | Histogram of missing values from a 'MSnSet' object |
| wrapper.mvImage | Heatmap of missing values from a 'MSnSet' object |
| wrapper.mvPerLinesHisto_HC | Histogram of missing values per lines from an object using... |
| wrapper.mvPerLinesHistoPerCondition_HC | Bar plot of missing values per lines and per conditions from... |
| wrapper.normalizeD | Normalisation |
| wrapper.pca | Compute the PCA |
| wrapperRunClustering | Run a clustering pipeline of protein/peptide abundance... |
| writeMSnsetToCSV | Exports a MSnset dataset into a zip archive containing three... |
| writeMSnsetToExcel | This function exports a 'MSnSet' object to a Excel file. |
