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