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

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 ...

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 ...

We present a genetic algorithm for the multiple-choice integer program that finds an optimal solution with probability one (though it is typically used as a heuristic). General constraints are relaxed ...

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.

As tumor cells multiply, they often spawn tens of thousands of genetic mutations. Figuring out which ones are the most promising to target with immunotherapy is like finding a few needles in a ...

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