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. |