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 ...
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 ...
A new deep learning algorithm can pick up the molecular pathways and development of key mutations causing colorectal cancer more accurately than existing methods, meaning patients could benefit from ...
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Coding for a cure: Sewickley Academy student’s research reveals key differences in genetic mutations
Being invited to present research at an international academic conference is an honor for any seasoned professional. But for ...
Proteins are like Spider-Man in the multiverse. The underlying story is the same: each building block of a protein is based on a three-letter DNA code. However, change one letter, and the same protein ...
A graph-based computational tool for detecting previously invisible genetic mutations has been developed. Researchers at the University of California, Los Angeles (UCLA; USA) and the University of ...
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