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.

This paper introduces CoPR, a framework for analyzing microbial community activity through collective pattern recognition across multiple datasets, revealing insights into individuality and conformity in temporal abundance profiles.

The paper introduces IL-VIS, a machine learning pipeline that incrementally learns and visualizes progression trajectories for longitudinal data, demonstrating its utility on brain organoid electrophysiological data.