Author

Ravisha Rupasinghe

The University of Melbourne

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Genetics· 1

Signature Assays, Organisms & Methods

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Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

Asela Hevapathige· 1 shared Chathura J. Gamage· 1 shared Damith SenanayakeiD· 1 shared Ingrid Eileen SchefferiD· 1 shared Jozef GécziD· 1 shared Mark CorbettiD· 1 shared Mark F. BennettiD· 1 shared Melanie BahloiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperGenetics

Asela Hevapathige

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1 paper

Recent·Most cited

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