| as_igraph | Convert plexi graph data to igraph |
| as_plexi_graph | Convert adjacency matrix to plexi graph data |
| distance | Function to calculate distance between two vectors |
| ednn | Encoder decoder neural network (EDNN) function |
| ednn_io_prepare | Preparing the input and output of the EDNN for a multiplex graph |
| example_data | Example Data |
| network_gen | Multiplex Network Generation |
| plexi_distance_test1_isn | Test the extremeness of embedding distances of local neighbors. |
| plexi_distance_test_isn | Test the embedding distances of local neighbors change between the two conditions for ISNs. |
| plexi_embedding | Calculate the embedding space for a multiplex network |
| plexi_embedding_2layer | Calculate the embedding space for a two layer multiplex network |
| plexi_node_detection_2layer | Detecting the nodes whose local neighbors change bweteen the two conditions. |
| plexi_node_distance | Detecting the nodes whose local neighbors change between the two conditions for ISNs. |
| p_val_count | Calculate p.value for x given set of null values using counts |
| p_val_norm | Calculate p.value for x given set of null values using a Gaussian null pdf |
| p_val_rank | Calculate p.value for x given a set of null values using ranks |
| Rank | Ranking a vector |
| rep_random_walk | Repetitive Fixed-length (weighted) random walk algorithm |
| subgraph_difference_plot | Visualization of a difference subgroup using a circular graph |
| subgraph_plot | Visualization of a subgroup using a circular graph |
| weightd_random_walk | Weighted Random Walk algorithm |