Protein functional properties prediction in sparsely-label PPI networks through regularized non-negative matrix factorization


Predicting functional properties of proteins in protein-protein interaction (PPI) networks presents a challenging problem and has important implication in computational biology. Collective classification (CC) that utilizes both attribute features and relational information to jointly classify related proteins in PPI networks has been shown to be a powerful… (More)
DOI: 10.1186/1752-0509-9-S1-S9


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