Research Article
Predicting Metabolite-Disease Associations Based on Linear Neighborhood Similarity with Improved Bipartite Network Projection Algorithm
| Input: matrixes , , , neighborhood sizes K, and decay term T. | | Output: new feature matrix MF. | | for | | mnn = KNN (p, , K) | | or to K do | | | | end for | | | | | | end for | | for to nd do | | dnn = KNN (q, , K) | | for to K do | | | | end for | | | | | | end for | | | | MF = max(M, ) | | return MF | | end function |
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