April 15 (UPI) --Scientists have developed a new algorithm that can predict how a protein could evolve to become highly effective or totally unproductive. The machine learning model -- detailed this ...

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 how ...

A new study by investigators at Dana-Farber Cancer Institute and Harvard Medical School is providing one of the most detailed ...

Quantitative biologists have designed a new machine learning technique for predicting evolutionary pathways. It could prove a valuable tool for biologists studying rapidly evolving viruses or cancer.

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

Mutation: it’s the raw material for evolution. That makes knowing the rate at which it occurs crucial to the study of evolutionary biology. Mutation rate figures into all kinds of calculations. For ...

In the depths of the ocean, where there’s no sunlight and the pressure could crush a submarine, a handful of animals have quietly rewritten their DNA to withstand these conditions. According to a new ...