Sparse Multiple Canonical Correlation Network Analysis Tool

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Documentation for package ‘SmCCNet’ version 2.0.3

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

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
X1	A synthetic mRNA expression dataset.
X2	A synthetic miRNA expression dataset.
Y	A synthetic phenotype dataset.