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 ...

How do cancer cells differ from healthy cells? A new machine learning algorithm called "ikarus" knows the answer, reports a team led by MDC bioinformatician Altuna Akalin in the journal Genome Biology ...

Biologists have long understood the various parts within the cell. But how these parts interact with and respond to each other is largely unknown. “We want to understand how cells make decisions, so ...

We describe a genetic algorithm (GA) for designing efficient search paths, against a moving target, in complicated environments. The immediate application is acoustic search for submarines, but the ...

NEWARK, Calif., & QUEBEC CITY--(BUSINESS WIRE)--ATUM, a Newark, California-based leader in the development of protein expression technologies, announced today the exclusive licensing of gene-coding ...

Researchers at the Wellcome Sanger Institute used prime editing to develop a novel tool to predict the chances of successfully inserting a gene-edited sequence of DNA into the genome of a cell. An ...

A new brand of artificial neural network has solved an interpretability problem that has frustrated biologists. With it, scientists may solve mysteries about gene regulation and drug discovery. In ...

Weill Cornell Medicine researchers are using machine learning, a form of artificial intelligence, to shed light on genetic mutations associated with spina bifida. In this birth defect, the neural tube ...

A Stanford-led study published in Nature on Feb. 26 found that age-related changes witnessed in diseases like Alzheimer’s may be related to a relatively untapped area of research in the brain. The ...