Using a computational algorithm, researchers at Children's Hospital of Philadelphia analyzed noncoding genetic mutations to discover how they factor into 5 pediatric cancers.

Scientists have developed a new algorithm that can predict how a protein could evolve to become highly effective or totally unproductive.

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 ...

A team of scientists has developed an algorithm that can accurately pinpoint, in large regions of the human genome, mutations favored by natural selection. The finding provides deeper insight into ...

With just a photo of a face, this algorithm can do more than spot a possible genetic condition — it can suggest which gene mutation is behind it.

New deep learning algorithm can pick up genetic mutations and DNA mismatch repair deficiency in colorectal cancers more efficiently Date: October 23, 2021 Source: University of Warwick Summary: A ...

The researchers created the algorithm by testing the effects of specific mutations occurring in the genes that make streptococcal GB1 protein.

Please can you explain what deep learning algorithms are and how they could help to uncover disease-causing genetic mutations? To understand deep learning in the context of genetic disease, you ...

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 ...