Man pages for wyguo/RLowPCor
Inference of co-expression gene network using relevance low order partial correlation from large scale expression data
| adj2rankadj | Convert network matrix to network rank matrix |
| adjmatrix2edgelist | Convert network matrix to edge list |
| anova2de | Use ANOVA to filter low epxressed genes |
| average.consensus | Consensus network integrated from average edge ranks |
| confusion | Statistical derivations of confusinon table |
| cor2mi | Convert correlation matrix to MI matrix |
| cor2statistics | Convert correlation to statistical significance measures. |
| edgelist2adjmatrix | Convert edge list to network matrix |
| firstPC | First order partial correlation |
| fit.structure | Calculate structural fitness of networks |
| gnwdata | Synthetic data sources simulated using GeneNetWeaver |
| LowPC | Low order partial correlation |
| node.degree | Calculate degree of nodes in gene networks |
| plotAUC | Plot AUC curves |
| random.net | Resort datasets and generate random networks |
| RLowPC | Relevance low order partial correlation |
| secondPC | Second order partial correlation |
| shared.neighbour | Extract shared neihbour genes |
| table.cut | Cut the confusion table at threshods |
| table.evaluate | Evaluation of inferred gene networks |
| zeroPC | Zero order partial correlation |
