Knowledge Inclusive Machine Learning for Disease Gene Prioritisation
Chathura J. Gamage, Yu Xia, Ravisha Rupasinghe, Sachith Seneviratne, Damith Senanayake, Tamasha Malepathirana, Asela Hevapathige, Mark Corbett, Terence John O'Brien, Steven Petrou, Samuel Frank Berkovic, Ingrid Eileen Scheffer, Jozef Gécz, Melanie Bahlo, Mark F. Bennett, Saman Kumara Halgamuge
This paper introduces KIML, a machine learning framework that integrates experimental data with biological knowledge to improve disease gene prioritisation, showing better performance than existing methods.
bioRxiv · May 17, 2026 · PreprintGenetics