analyzeNormalizations | Calculate measures for normalization results |
calculateANOVAPValues | Calculates ANOVA p-values comparing the different condition... |
calculateAvgMadMem | Calculate average MAD (Median Absolute Deviation) for each... |
calculateAvgReplicateVariation | Calculate average variance for each feature in each condition... |
calculateContrasts | Performs statistical comparisons between the supplied... |
calculateCorrSum | Calculates internal correlations for each condition having at... |
calculateFeatureCV | Calculate CV values for each feature. Iterates through each... |
calculatePercentageAvgDiffInMat | General function for calculating percentage difference of... |
calculateReplicateCV | Calculate CV per replicate group and normalization technique |
calculateSummarizedCorrelationVector | Calculates correlation values between replicates for each... |
createDirectory | Create directory, or return error if already present |
detectSingleReplicate | Detect single replicate, and assign related logical |
detectSingletonSample | Detect single sample group |
elapsedSecondsBetweenSystimes | Get number of seconds between two Sys.time() objects |
example_data | Small example dataset used to demonstrate code consistency in... |
example_data_only_values | Same data as in "example_data", but omitting the annotation... |
example_design | Design matrix corresponding to the small example datasets. |
example_stat_data | Same data as in "example_data", but normalized and ready for... |
example_stat_summarized_experiment | SummarizedExperiment object prepared with design-matrix,... |
example_summarized_experiment | SummarizedExperiment object prepared with design-matrix,... |
example_wide_data | Full raw NormalyzerDE matrix used for internal testing |
example_wide_design | Design matrix belonging together with example_wide_data. Used... |
filterLowRep | Filter rows with lower than given number of replicates for... |
findLowlyVariableFeaturesCVs | Uses a list of FDR-values to extract features with low... |
generateAnnotatedMatrix | Generate an annotated data frame from statistics object |
generatePlots | Generates a number of visualizations for the performance... |
generateStatsReport | Generate full output report plot document. Plots p-value... |
getCombinedMatrix | Merge multiple dataframes using provided function |
getIndexList | Return list containing vector positions of values in string |
getLowCountSampleFiltered | Verify that samples contain at least a lowest number of... |
getReplicateSortedData | Get dataframe with raw data column sorted on replicates |
getRowNAFilterContrast | Get contrast vector (TRUE/FALSE-values) indicating whether... |
getRTNormalizedMatrix | Perform RT-segmented normalization by performing the supplied... |
getSmoothedRTNormalizedMatrix | Generate multiple RT time-window normalized matrices where... |
getVerifiedNormalyzerObject | Verify that input data is in correct format, and if so,... |
getWidenedRTRange | Pick datapoints before and after window until a minimum... |
globalIntensityNormalization | The normalization divides the intensity of each variable in a... |
loadData | Load raw data into dataframe |
loadDesign | Load raw design into dataframe |
loadRawDataFromFile | Try reading raw Normalyzer matrix from provided filepath |
meanNormalization | Intensity of each variable in a given sample is divided by... |
medianNormalization | Intensity of each variable in a given sample is divided by... |
normalyzer | NormalyzerDE pipeline entry point |
NormalyzerDataset | Represents raw input data together with basic annotation... |
normalyzerDE | NormalyzerDE differential expression |
NormalyzerEvaluationResults | Representation of evaluation results by calculating... |
NormalyzerResults | Representation of the results from performing normalization... |
NormalyzerStatistics | Class representing a dataset for statistical processing in... |
normMethods | Perform normalizations on Normalyzer dataset |
performCyclicLoessNormalization | Cyclic Loess normalization |
performGlobalRLRNormalization | Global linear regression normalization |
performNoNormalization | Do no normalization (For debugging purposes) |
performNormalizations | Main function for executing normalizations |
performQuantileNormalization | Quantile normalization is performed by the function... |
performSMADNormalization | Median absolute deviation normalization Normalization... |
performVSNNormalization | Log2 transformed data is normalized using the function... |
plotBoxPlot | Boxplots showing distribution of values after different... |
plotComparisonVenns | If multiple comparisons - Show overlap in Venn diagrams |
plotContrastPCA | Show in a PCA plot what samples are compared in statistical... |
plotContrastPHists | Takes an NormalyzerStatistics instance and generates and... |
plotCorrelation | Visualize within-replicates correlations |
plotCVvsIntensity | Plots page displaying coefficient of variance (CV) against... |
plotDendrograms | Visualize dendrogram grouping of samples |
plotDensity | Density plots showing value distributions after... |
plotFrontPage | Generate first page in output report and write to viewport |
plotMA | Produces a page containing expression vs. fold-change figures... |
plotMDS | MDS plots showing grouping of samples after normalizations |
plotMeanSD | Visualize standard deviation over (expression?) for different... |
plotPHist | Generate P-histograms for ANOVA calculated after each... |
plotQQ | Produces page showing QQ-plots for the first sample for each... |
plotReplicateVarAndStableVariables | Write figures displaying pooled coefficient of variance,... |
plotReplicateVariance | Generate normalization replicate variance summary by... |
plotRLE | Boxplots showing relative log expression after normalizations |
plotSampleMappingPage | Write page with sample mapping |
plotSampleOutlierSummary | Write page containing sample summary of intensities, missing... |
plotScatter | Produces page containing scatter plot plotting the first two... |
plotSigScatter | Takes an NormalyzerStatistics instance and generates and... |
preprocessData | Replace empty values (0 or empty field) with NA in input data |
printMeta | Print meta information for Normalyzer plot page ! Needs... |
printPlots | Generate PDF grid page filling it with provided list of plots |
reduceTechnicalReplicates | Remove technical replicates from data and design |
setupJobDir | Create empty directory for run |
setupPlotting | Setup PDF report settings by initializing the color palette,... |
setupRawContrastObject | Prepare SummarizedExperiment object for statistics data |
setupRawDataObject | Prepare SummarizedExperiment object for raw data to be... |
setupTestData | Generate a random test dataset with features, sample values... |
validateSampleReplication | Check whether all samples have replicates |
verifyContrasts | Check that a given contrast string is valid given a... |
verifyDesignMatrix | Verify that design matrix setup matches the data matrix |
verifyMultipleSamplesPresent | Check whether more than one sample is present |
verifySummarizedExperiment | Verify that design matrix setup matches the data matrix |
verifyValidNumbers | Verify that input fields conform to the expected formats |
writeNormalizedDatasets | Write normalization matrices to file |
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