Man pages for b2slab/diffusion
Diffusion scores on biological networks
| checks | Sanity checks for input |
| connect_undirected_graph | Function to connect a non connected graph |
| convertSparse | S4 sparse matrix to arma::sp_mat |
| default_graph_param | Generate data.frame with default vertex attributes |
| diffuse | Diffuse scores on a network |
| diffuse_mc | Compute the heatrank using permutations |
| diffuse_raw | Diffuse scores on a network |
| diffuStats | diffuStats: an R package to compute and benchmark diffusion... |
| generate_graph | Generate a random graph |
| generate_input | Generate a random input for graph diffusion |
| graph_toy | Toy graph to play with diffusion |
| is_kernel | Check if a matrix is a valid kernel |
| kernels | Compute graph kernels |
| largest_cc | Largest connected component |
| metric_auc | Compute the area under the curves (ROC, PRC) |
| moments | Compute exact statistical moments |
| named.list | Create a named list |
| ParallelHeatrank | Compute heatrank in parallel |
| perf | Compare diffusions to a target score on a grid of parameters |
| perf_eval | Compute performance of diffusion scores on a single case |
| perf_wilcox | Compute column-wise statistics in a performance matrix |
| scores2colours | Translate values into colours |
| scores2shapes | Translate values into shapes |
| serialHeatrank | Compute heatrank for a single case |
| sparsify2 | Sparsify arma::mat into arma::sp_mat |
| to_list | Convert input to list format |
| to_x_from_list | Convert list format to desired format |
| which_format | In which format is the input? |
