X1                      A synthetic mRNA expression dataset.
X2                      A synthetic miRNA expression dataset.
Y                       A synthetic phenotype dataset.
aggregateCVSingle       Aggregate and Save Cross-validation Result for
                        Single-omics Analysis
classifierEval          Evaluation of Binary Classifier with Different
                        Evaluation Metrics
dataPreprocess          preprocess a omics dataset before running omics
                        SmCCNet
fastAutoSmCCNet         Automated SmCCNet to Streamline the SmCCNet
                        Pipeline
getAbar                 Calculate similarity matrix based on canonical
                        weights.
getCanCorMulti          Canonical Correlation Value for SmCCA
getCanWeightsMulti      Get Canonical Weight SmCCA Algorithm (No
                        Subsampling)
getOmicsModules         Extract Omics Modules based on Similarity
                        Matrix.
getRobustWeightsMulti   Run Sparse multiple Canonical Correlation
                        Analysis and Obtain Canonical Weights (with
                        Subsampling)
getRobustWeightsMultiBinary
                        Run Sparse multiple Canonical Correlation
                        Analysis and Obtain Canonical Weights (with
                        Subsampling)
getRobustWeightsSingle
                        Single-omics SmCCA with Quantitative Phenotype
getRobustWeightsSingleBinary
                        Single-omics SmCCA with Binary Phenotype
networkPruning          Prunes Subnetwork and Return Final Pruned
                        Subnetwork Module
scalingFactorInput      Scaling Factor Input Prompt
summarizeNetSHy         NetSHy Summarization Score
