Man pages for SmCCNet
Sparse Multiple Canonical Correlation Network Analysis Tool
| aggregateCVSingle | Aggregate and Save Cross-validation Result for Single-omics... |
| classifierEval | Evaluation of Binary Classifier with Different Evaluation... |
| 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) |
| getCCAout_single | Internal functions called by getRobustPseudoWeights_single. |
| getOmicsModules | Extract Omics Modules based on Similarity Matrix. |
| getRobustWeightsMulti | Run Sparse multiple Canonical Correlation Analysis and Obtain... |
| getRobustWeightsMultiBinary | Run Sparse multiple Canonical Correlation Analysis and Obtain... |
| getRobustWeightsSingle | Single-omics SmCCA with Quantitative Phenotype |
| getRobustWeightsSingleBinary | Single-omics SmCCA with Binary Phenotype |
| networkPruning | Prunes Subnetwork and Return Final Pruned Subnetwork Module |
| pipe | Pipe operator |
| 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. |
