Man pages for mnda
Multiplex Network Differential Analysis (MNDA)

as.igraphConvert mnda graph data to igraph
as.mnda.graphConvert adjacency matrix to mnda graph data
DistanceFunction to calculate distance between two vectors
EDNNEncoder decoder neural network (EDNN) function
ednn_IOpreparePreparing the input and output of the EDNN for a multiplex...
example_dataExample Data
mnda_distance_test_isnTest the embedding distances of local neighbors change...
mnda_embeddingCalculate the embedding space for a multiplex network
mnda_embedding_2layerCalculate the embedding space for a two layer multiplex...
mnda_node_detection_2layerDetecting the nodes whose local neighbors change bweteen the...
mnda_node_distanceDetecting the nodes whose local neighbors change between the...
network_genMultiplex Network Generation
p_val_normCalculate p.value for x given a Gaussian null pdf
p_val_rankCalculate p.value for x given a null pdf using ranks
RankRanking a vector
RepRandomWalkRepetitive Fixed-length (weighted) random walk algorithm
subgraph_difference_plotVisualization of a difference subgroup using a circular graph
subgraph_plotVisualization of a subgroup using a circular graph
WeightdRandomWalkWeighted Random Walk algorithm
mnda documentation built on Feb. 16, 2023, 5:32 p.m.