Proteogenomics explores how genetic information translates into protein expression and function, and the role of changes across DNA, RNA, and proteins in influencing disease development and ...

Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning algorithms, ClairS-TO and Clair3-RNA, that significantly advance genetic ...

A computer algorithm can efficiently find genetic mutations that work together to drive cancer as well as other important genetic clues that researchers might someday use to develop new treatments for ...

A team of researchers led by Professor Akitsu Hotta (Department of Clinical Application) developed a comprehensive framework ...

A pathogenic BRCA result is presented as clinically actionable information that enables risk stratification, anticipatory guidance, and self-advocacy rather than determinism about cancer development.