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 ...
1d
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 ...
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 ...
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 ...
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 ...
Dr. James McCaffrey of Microsoft Research explains stochastic gradient descent (SGD) neural network training, specifically implementing a bio-inspired optimization technique called differential ...
Some clinical trials for treatments that nip Alzheimer’s disease in the bud rely on recruiting carriers of autosomal-dominant mutations who will develop Alzheimer’s disease in a predictable fashion.
Results that may be inaccessible to you are currently showing.
Hide inaccessible results