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 ...

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 ...

Movies such as ‘X-Men,’ ‘Fantastic Four,’ and ‘The Guardians,’ which showcase vibrant mutant heroes, have captivated global audiences. Recently, a high-throughput genetic screening of meiotic ...

Dr. James McCaffrey of Microsoft Research explains stochastic gradient descent (SGD) neural network training, specifically implementing a bio-inspired optimization technique called differential ...

Artificial Intelligence (AI) has become a potent tool in identifying genetic mutations. By leveraging AI capabilities, scientists can rapidly and accurately analyze vast amounts of data. This ...

Galileo once observed that nature is written in math. Biology might be written in words. Natural-language processing (NLP) algorithms are now able to generate protein sequences and predict virus ...