Multiplex Network Differential Analysis (MNDA)

Documentation for package ‘mnda’ version 1.0.9

as.igraph	Convert mnda graph data to igraph
as.mnda.graph	Convert adjacency matrix to mnda graph data
Distance	Function to calculate distance between two vectors
EDNN	Encoder decoder neural network (EDNN) function
ednn_IOprepare	Preparing the input and output of the EDNN for a multiplex graph
example_data	Example Data
mnda_distance_test_isn	Test the embedding distances of local neighbors change between the two conditions for ISNs.
mnda_embedding	Calculate the embedding space for a multiplex network
mnda_embedding_2layer	Calculate the embedding space for a two layer multiplex network
mnda_node_detection_2layer	Detecting the nodes whose local neighbors change bweteen the two conditions.
mnda_node_distance	Detecting the nodes whose local neighbors change between the two conditions for ISNs.
network_gen	Multiplex Network Generation
p_val_norm	Calculate p.value for x given a Gaussian null pdf
p_val_rank	Calculate p.value for x given a null pdf using ranks
Rank	Ranking a vector
RepRandomWalk	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
WeightdRandomWalk	Weighted Random Walk algorithm