Research Article
Robust Nonnegative Matrix Factorization via Joint Graph Laplacian and Discriminative Information for Identifying Differentially Expressed Genes
| Input: Data matrix , indicator matrix , parameters . | | Output: Matrices , and . | | Initialization: Randomly initialize three nonnegative matrices , | | and , initialize , to be identity | | matrix. Set | | Repeat | | Update , and separately by | | | | | | | | Calculate the diagonal matrices and by (11) and (12), separately. | | Until convergence. |
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