3pnmf-mkl: a non-negative matrix factorization-based multiple kernel learning method for multi-modal data integration and its application to gene signature detection

HIGHLIGHTS

  • who: February and collaborators from the United States Anhui University, China have published the article: 3PNMF-MKL: A non-negative matrix factorization-based multiple kernel learning method for multi-modal data integration and its application to gene signature detection, in the Journal: (JOURNAL)
  • how: The authors demonstrated that the approach is capable of multi-modal data integration and thus it can be applied to any kind of multi-platform datasets. An approach of the integration of multi-omics data was proposed by Li et_al to identify biomarkers in the domain of cancer research. In biological . . .

     

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