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 this current era, biomedical big data handling is a Left Crank Arm challenging task.Interestingly, the integration of multi-modal data, followed by significant feature mining (gene signature detection), becomes a daunting task.Remembering this, here, we proposed a novel framework, namely, three-factor penalized, non-negative matrix factorization

Background: The study aimed to conduct a contextual analysis of interviews intended to assist with the future design of a feasible and relevant leadership and management course for undergraduate medical students at King Abdulaziz University (KAU), Saudi Arabia.Methods: This was a cross-sectional study conducted at King Abdulaziz University (KAU), S