PmDNE: Prediction of miRNA-Disease Association Based on Network Embedding and Network Similarity Analysis

Pseudocode 1

Pseudocode of node sequence.

Algorithm: WalkGenerator(W, R, maxT, minT, p, c, e).

Input: weight maxtrix of the bipartite network W, vertex set R, times of max walks from per vertex maxT, times of min walks per vertex minT, walk stopping probability p,the weight of disease or miRNA’s similarity network c and e。.

Output: a set of vertex sequences

1 calculate vertices’ centrality:H=CentralityMeasure(W);

2 calculate by Equation (4);

3 foreach vertex do

4  l=max(H()maxT, minT);

5  for i=0 to l do

6   =BiasedRandomWalk(W,,p);

7   Add into

8 Return