A B C D E F G H M N O P R S T V misc
| assignColDataColumn | assignColDataColumn Assign a new column directly to the colData slot of a SummarizedExperiment. |
| assignSubtypes | Assign Sample Subtypes to an S4 Object |
| assignSubtypes-method | Assign Subtype Annotations to a SurvivalExperiment Object |
| assignSubtypes-method | Assign Subtype Annotations to a SurvivalExperiment Object |
| barPlotModelComparison | Make A Bar Plot Comparing Performance Between Two 'S4' Objects Representing Mathematical Models. |
| barPlotModelComparison-method | Make a Bar Plot Comparison Model Performance Between a ClinicalModel and a PCOSP, RLSModel or RGAModel object. |
| birnbaum | Published classifier gene signature for Birnbaum |
| chen | Published classifier gene signature for Chen |
| ClinicalModel | Constructor for the ClinicalModel Class |
| ClinicalModel-class | ClinicalModel Class Definition |
| CohortList | Constructor for the CohortList class, a specialized list for storing SurvivalExperiment objects. |
| CohortList-class | CohortList Class Definition |
| cohortSubtypeDFs | A list of sample subtypes for the data in sampleCohortList |
| compareModels | Compare Two Mathematical Models Represented as 'S4' Objects |
| compareModels-method | Compare Two 'SurivalModel' Objects, Returing A 'ModelComparison' Object With Statistics Comparing the Performance of Each Model. |
| compareModels-method | Compare Two 'SurivalModel' Objects, Returing A 'ModelComparison' Object With Statistics Comparing the Performance of Each Model. |
| ConMetaclustModel | Constructor for a 'ConsensusClusterModel' Object. |
| ConsensusMetaclusteringModel | Constructor for a 'ConsensusClusterModel' Object. |
| ConsensusMetaclusteringModel-class | An 'S4Model' Containing Molecular Data to be Consensus Clustered |
| CoxModel | CoxModel constructor |
| CSPC_MAE | A 'MultiAssayExperiment' containing cohorts of pancreatic cancer patients, for use in package examples. |
| densityPlotModelComparison | Render A Density Plot of Model Performance for an 'S4' Object |
| densityPlotModelComparison-method | Render a Density Plot Comparing Model Performance Between Two 'PCOSP', 'RLSModel' or 'RGAModel' object. |
| dropNotCensored | Remove Censored Patient Samples from An 'S4' Object. |
| dropNotCensored-method | Remove Censored Patients from Each 'SurvivalExperiemnt' in a 'CohortList' |
| dropNotCensored-method | Remove Censored Patients from A 'SurvivalExperiment' Object |
| existingClassifierData | existingClassifierData |
| findCommonGenes | Find the common genes in an 'S4' object. |
| findCommonGenes-method | Intersect Gene Names for All 'SurvivalExperiments' in a 'CohortList' |
| findCommonGenes-method | Intersect Gene Names for All 'experiments' in a 'MultiAssayExperiment' |
| findCommonSamples | Find Common Samples in a List-like S4 Object where The Columns of Each Item Represent Samples |
| findCommonSamples-method | Find Common Samples in a CohortList Object where The Columns of Each Item Represent Samples |
| forestPlot | Generate a forest plot from an 'S4' object |
| forestPlot-method | Render a forest plot from the 'validationStats' slot of a 'PCOSP' model object. |
| forestPlot-method | Render a forest plot from the 'validationStats' slot of a 'PCOSP' model object. |
| GeneFuModel | 'GeneFuModel' Constructor Method |
| GeneFuModel-class | A 'SurvivalModel' Sub-class Designed to Hold A Survival Model Generated Using the 'genefu' R package. |
| getModelSeed | Generic for retrieving the randomSeed parameter from a 'SurvivalModel' object. |
| getModelSeed-method | Method for retrieving the random seed used for training a specific survival model object. |
| getTopFeatures | Get the Top Predictive Features from an S4 Object |
| getTopFeatures-method | Get the Top Ranked Features in a 'MultiAssayExperiment' object |
| getTopFeatures-method | Get the top features for classification using a PCOSP model object. |
| getTopFeatures-method | Get the Top Ranked Features in a 'SummarizedExperiment' object |
| haiderSigScores | Classifier survival scores for Haider |
| hasColDataColumns | Check for Column Names in the colData Slot of a SummarizedExperiment |
| merge-method | Merge two 'SurvivalExperiments', subsetting to shared rows and columns |
| ModelComparison | ModelComparison Constructor |
| ModelComparison-class | ModelComparison Class Definition |
| modelParams | Generic for Accessing the Model Parameters of an 'S4' Object |
| modelParams-method | Accessor for the Model Parameters of an 'S4Model' Object |
| models | Accessor for the models slot of an 'S4' object |
| models-method | Getter for the models slot of an 'S4Model' Object |
| models-method | Getter for the models slot of a 'SurvivalModel' object |
| models<--method | Setter for the models slot of a 'SurvivalModel' object |
| NCSModel | Constructor for a NetworkCommunitySearchModel (NCSModel) |
| NCSModel-class | S4Model Class for Metaclustering Using Network Community Search |
| NetworkCommunitySearchModel | Constructor for a NetworkCommunitySearchModel (NCSModel) |
| normalize-method | Normalize a S4 'DFrame' Object |
| normalize-method | Normalize the 'assays' of a 'MutliAssayExperiment' Object |
| normalize-method | Normalize the 'assays' in a 'SummarizedExperiment' Object |
| normalize-method | Normalize a 'data.frame' Object |
| normalsMAE | A 'MultiAssayExperiment' containing cohorts of normal patients, for package examples. |
| optimalKMinimizeAmbiguity | Predict optimal K values by minimizing the difference between the ECDF of clustering consensus at two points in a subinterval. |
| PCOSP | Pancreatic Cancer Overall Survival Predictor (PCOSP) Constructor |
| PCOSP-class | Pancreatic Cancer Overall Survival Predictor (PCOSP) Class |
| PCOSP_or_ClinicalModel-class | Class Union for PCOSP and ClinicalModel Types |
| PCOSP_or_RLS_or_RGA-class | Class Union for PCOSP, RLSModel and RGAModel Types |
| plotNetworkGraph | A Generic for Plotting a Network Graph From an S4 Object |
| plotNetworkGraph-method | Plot a Network Graph for a Classified NCSModel Object |
| plotROC | Plot ROC curves for an 'S4' object |
| plotROC-method | Plot ROC curves for a 'PCOSP' model object. |
| plotSurvivalCurves | Generic for Plotting Survival Curves from an 'S4' Object |
| plotSurvivalCurves-method | Plot Survival Curves from a Fit 'CoxModel' Object |
| predictClasses | Predict Classes for New Data Based on a Train Classifier Model |
| predictClasses-method | Use a Clinical GLM to Predict Classes for a 'CohortList' of 'SurvivalExperment' Objects. |
| predictClasses-method | Use a Gene Signature Based Prediciton Model from the 'genefu' Package to Predict Signature Scores for Each Sample |
| predictClasses-method | Predict Survival Prognosis Classes and Risk Scores for A 'CohortList' Using a 'PCOSP', 'RLSModel' or 'RGAModel' object. |
| predictClasses-method | Compute the Optimal Clustering Solution for a Trained ConsensusMetaclusteringModel |
| predictClasses-method | Predict Metacluster Labels for a NetworkCommunitySearchModel |
| predictClasses-method | Predict Survival Prognosis Classes and Risk Scores for A 'SurvivalModel' Using a 'ClinicalModel' Object. |
| predictClasses-method | Use a Gene Signature Based Prediciton Model from the 'genefu' Package to Predict Signature Scores for Each Sample. |
| predictClasses-method | Predict Survival Prognosis Classes and Risk Scores for A 'CohortList' Using a 'PCOSP', 'RLSModel' or 'RGAModel' object. |
| preprocessCaret | Preprocess Data Using the 'caret::preProcess' method, then return the normalized data using 'predict'. |
| RandomGeneAssignmentModel | RandomGeneAssignmentModel Constructor |
| RandomLabelShufflingModel | RandomLabelShufflingModel Constructor |
| rankFeatures | Rank the Features in a 'S4' Object |
| rankFeatures-method | Rank the Features in a 'MultiAssayExperiment' Object |
| rankFeatures-method | Rank the Features in a 'SummarizedExperiment' Object |
| removeColDataFactorColumns | Remave any factor columns from the 'colData' of an 'S4' object |
| removeFactorColumns | Convert factor columns in a rectangular object |
| renameColDataColumns | Rename the columns in the 'colData' slot, or do nothing if they don't match |
| renameColumns | Rename columns or do nothing if the names don't match |
| RGAModel | RandomGeneAssignmentModel Constructor |
| RGAModel-class | RGAModel Class Definition |
| RLSModel | RandomLabelShufflingModel Constructor |
| RLSModel-class | RLSModel Class Definition |
| runGSEA | Run Gene Set Enrichment Analysis |
| runGSEA-method | Run Gene Set Enrichment Analysis On A 'PCOSP' Model Object. |
| S4Model-class | An 'S4' Virtual Class For the Concept of a Statistical or ML Model |
| sampleClinicalModel | Sample ClinicalModel Containing the ICGC micro-array cohort from 'MetaGxPancreas' as training data. |
| sampleCohortList | A Set of Example Patient Cohorts |
| sampleICGCmicro | A Sample SurvivalExperiment Containing Data from the ICGC micro-array cohort from 'MetaGxPancreas' |
| samplePCOSPmodel | A Sample PCOSP Model Containing the ICGC micro-array cohort from 'MetaGxPancreas' as training data. |
| samplePCOSPpredList | Sample CohortList with PCOSP Risk Predictions |
| samplePCSIsurvExp | Sample SurvivalExperiment Containing the PCSI rna-sequencing cohort from 'MetaGxPancreas'. |
| sampleRGAmodel | Sample RGA Model Containing the ICGC micro-array cohort from 'MetaGxPancreas' as training data. |
| sampleRLSmodel | Sample RLS Model Containing the ICGC micro-array cohort from 'MetaGxPancreas' as training data. |
| sampleTrainedPCOSPmodel | A Sample Trained PCOSP Model Containing the ICGC micro-array cohort from 'MetaGxPancreas' as training data. |
| sampleValPCOSPmodel | Sample Validated PCOSP Model for Plotting Examples |
| show-method | Show method for Classes Inheriting from 'S4Model' |
| subset-method | Subset method for a 'CohortList' |
| SurvivalExperiment | Constructor for 'SurvivalExperiment' Class Builds a 'SurvivalExperiment' object, which is just a wrapper for a 'SummarizedExperiment' with mandatory survival metadata numeric columns 'survival_time' and 'event_occurred'. |
| SurvivalExperiment-class | SurvivalExperiment Class |
| SurvivalModel | Constructor for a SurvivalModel Object. |
| SurvivalModel-class | A Generic Container for Storing Mathematical Models of SurvivalExperiments |
| trainData | Generic for Accessing the Training Data of an 'S4' Object |
| trainData-method | Accessor for the Training Data in a 'S4Model' Object |
| trainData<- | Generic for Accessing the Training Data of an 'S4' Object |
| trainModel | Train a Model Based on the Data in an S4 Object |
| trainModel-method | Fit a GLM Using Clinical Predictors Specified in a 'ClinicalModel' Object. |
| trainModel-method | Train A ConsensusMetaclusteringModel |
| trainModel-method | Fit Models to the trainData in a CoxModel Object |
| trainModel-method | Train a GeneFuModel Object |
| trainModel-method | Train a NetworkCommunitySearchModel |
| trainModel-method | Train a PCOSP Model Based on The Data the assay 'trainMatrix'. |
| trainModel-method | Train a RGAModel Based on the Data in the assays slot. |
| trainModel-method | Train a PCOSP Model Based on The Data the assay 'trainMatrix'. |
| validateModel | Perform Validation on an 'S4' Object Representing a Trained Model |
| validateModel-method | Evaluate the Performance of a List of Trained KTSP Models from a PCOSP Model |
| validateModel-method | Validate a ClinicalModel object with a single SurvivalExperiment object. |
| validateModel-method | Compute the Inter-Cohort Cluster Correlation and Clustering Reproducibility of All Clusters in Each Cohort. |
| validateModel-method | Evaluate the Performance of a List of Trained KTSP Models from a PCOSP Model |
| validateModel-method | Validate a 'GenefuModel' object with a single 'SurvivalExperiment' object. |
| validateModel-method | Evaluate the Performance of a List of Trained KTSP Models from a PCOSP Model |
| validateModel-method | Validate a PCOSP model with a single SurvivalExperiment object. |
| validationData | Accessor for the 'validationData' slot of an 'S4' object |
| validationData-method | Accessor for the 'validationData' slot of an 'S4Model' object |
| validationData-method | Accessor for the 'validationData' slot of a 'SurvivalModel' object. |
| validationData<- | Generic for setting the 'validationData' slot on an 'S4' object |
| validationData<--method | Setter for the 'validationData' slot of a 'SurvivalModel' object with a 'CohortList'. |
| validationStats | Accessor for the 'validationStats' slot of an 'S4' object |
| validationStats-method | Acessor for the 'validationStats' slot of an 'S4Model' Object |
| validationStats-method | Accessor for the 'validationStats' slot of a 'SurvivalModel' object. |
| validationStats<- | Setter for the 'validationStats' slot on an 'S4' object |
| validationStats<--method | Setter for the 'validationStats' slot on an 'S4Model' object |
| validationStats<--method | Setter for the validationStats slot of a 'SurvivalModel' object with a 'data.frame' |
| .ClinicalModel | ClinicalModel Class Definition |
| .CohortList | CohortList Class Definition |
| .ConsensusMetaclusteringModel | An 'S4Model' Containing Molecular Data to be Consensus Clustered |
| .GeneFuModel | A 'SurvivalModel' Sub-class Designed to Hold A Survival Model Generated Using the 'genefu' R package. |
| .ModelComparison | ModelComparison Class Definition |
| .NCSModel | S4Model Class for Metaclustering Using Network Community Search |
| .PCOSP | Pancreatic Cancer Overall Survival Predictor (PCOSP) Class |
| .RGAModel | RGAModel Class Definition |
| .RLSModel | RLSModel Class Definition |
| .S4Model | An 'S4' Virtual Class For the Concept of a Statistical or ML Model |
| .SurvivalExperiment | SurvivalExperiment Class |
| .SurvivalModel | A Generic Container for Storing Mathematical Models of SurvivalExperiments |