| addSpectralSimilarity | Adding a spectral similarity matrix to the "structural"... |
| addToList | Add adjacency matrix to list |
| AdjacencyMatrix | Wrapper to create an instance of S4 class AdjacencyMatrix |
| AdjacencyMatrix-class | Methods for 'AdjacencyMatrix' objects |
| AllGenerics | Placeholder for generics functions documentation |
| aracne | Create an adjacency matrix based on algorithm for the... |
| bayes | Create an adjacency matrix based on score-based structure... |
| clr | Create an adjacency matrix based on context likelihood or... |
| combine | Combine structural and statistical 'AdjacencyMatrix' objects |
| correlation | Create an adjacency matrix based on correlation |
| dot-AdjacencyMatrix | Create S4 class AdjacencyMatrix |
| dot-assays_have_identical_colnames_rownames | Check if all the assays in the 'AdjacencyMatrix' object have... |
| dot-assays_have_identical_dimnames | Check if the assays in the 'AdjacencyMatrix' object have... |
| getLinks | Write an adjacency matrix to a 'data.frame' |
| lasso | Create an adjacency matrix based on LASSO |
| mat_test | Example data for 'MetNet': unit tests |
| mat_test_z | Example data for 'MetNet': unit tests |
| MetNet-package | Inferring metabolic networks from untargeted high-resolution... |
| ms2_test | Spectra data to test addSpectralSimilarity |
| mz_summary | Create a summary from adjacency list containing mass... |
| mz_vis | Visualize mass difference distribution |
| partialCorrelation | Calculate the partial correlation and p-values |
| peaklist | Example data for 'MetNet': data input |
| randomForest | Create an adjacency matrix based on random forest |
| rtCorrection | Correct connections in the structural adjacency matrices by... |
| spectra_matrix | Spectra data to test addSpectralSimilarity |
| statistical | Create an 'AdjacencyMatrix' object containing assays of... |
| structural | Create adjacency matrix based on m/z (molecular weight)... |
| threshold | Threshold the statistical adjacency or spectral similarity... |
| topKnet | Return consensus ranks from a matrix containing ranks |
| x_annotation | Example annotation for 'MetNet': data input |
| x_test | Example data for 'MetNet': data input |
