R: Multiplex Network Differential Analysis (MNDA)

# Multiplex Network Differential Analysis (MNDA)

## Documentation for package ‘mnda’ version 1.0.9

- DESCRIPTION file

## Help Pages

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