Biomarker selection and classification of "- Omics " data using a two-step bayes classification framework

• Main Authors: Anunchai Assawamakin, Supakit Prueksaaroon, Supasak Kulawonganunchai, Philip James Shaw, Vara Varavithya, Taneth Ruangrajitpakorn, Sissades Tongsima
• Other Authors: Mahidol University
• Format: Article
• Published: 2018
• Subjects: Biochemistry, Genetics and Molecular Biology; Immunology and Microbiology
• Online Access: https://repository.li.mahidol.ac.th/handle/123456789/31192

Identification of suitable biomarkers for accurate prediction of phenotypic outcomes is a goal for personalized medicine. However, current machine learning approaches are either too complex or perform poorly. Here, a novel two-step machine-learning framework is presented to address this need. First,...