Dr Anthony Onoja
Research Fellow
PhD Data Science, MSc Mathematical Statistics, BSc (Hons) Statistics
About
Biography
I have an academic background in Statistics (BSc. And MSc.) and my Ph.D. in Data Science. My research interest is in data science and statistical techniques applicable to Biomedical Sciences. I have a keen interest in the applications of interpretable ML and explainable AI techniques to high-dimensional multi-omics data. I have in recent times developed a novel computational splitting strategy and interpretable ML techniques to predict severity in COVID-19 patients based on their whole exome sequencing genomic data and clinical phenotype information.
University roles and responsibilities
- Research Fellow
Publications
A.A. Onoja and G.O. Orwa and O.O. Ngesa (2018) Applying Support Vector Machine and AdaBoost Method to Ordinal Classification Problem
Anthony Onoja, Oluwabunmi Chidinma Ogundare, Funso Emmanuel Tejuoso (2022) An Optimization of Outpatients’ Waiting Time and Health-related Risks
Anthony Onoja, Francesco Raimondi, Nicola Picchiotti, Chiara Fallerini, Margherita Baldassarri, Francesca Fava, Francesca Colombo, Francesca Chiaromonte, Alessandra Renieri (2021) An explainable model of host genetic interactions linked to COVID-19 severity
Onoja Anthony, Kembe Msugh Moses, Bwebum C. Dang, Obilikwu Patrick (2022) An Integrated Big Data Model to Salvage Nigeria's Insecurity Challenges
Anthony Onoja, Tosin Babasola, Edwin Moyo, Viona Ojiambo (2018) The Application of Queuing Analysis in modeling Optimal Service Level
A.A. Onoja, O.L. Babasola, V. Ojiambo (2018) Chi-Square Automatic Interaction Detection Modeling of the effects of Social Media Networks on Students’ Academic Performance
A.A. ONOJA*, O.L. BABASOLA, V. Ojiambo (2018) Application of Discriminant Analysis in the Classification of Food Security Status