Childhood cancer survivors often experience late adverse effects that may be linked to chemotherapy mutagenesis. We studied ...

More than two decades after scientists first sequenced the entire human genome—all 3 billion base pairs, of DNA code—the ...

UC Berkeley researchers have created a new genomic language model, called GPN-Star, that excels at spotting genetic variants that impact human health. More than two decades after scientists first ...

Foundational optimization algorithms are the core driving force behind deep learning, evolving from early stochastic gradient descent (SGD) to the widely adopted Adam family. However, as the scale of ...

For years, social media giants controlled what users saw in their feeds. While people could follow accounts, like posts or hide content they didn’t enjoy, recommendation algorithms controlled what was ...

The truncation order now scales logarithmically with simulation time and target precision, a substantial improvement over prior methods lacking this efficiency. This unlocks the possibility of ...

Abstract: Differential Evolution (DE) algorithm, as a state-of-the-art population-based stochastic optimizer for continuous non-convex search spaces, can adaptively balance exploration and ...

An international team led by the Clínic-IDIBAPS-UB along with the Institute of Cancer Research, London, has developed a new method based on DNA methylation to decipher the origin and evolution of ...

Abstract: The differential evolution (DE) algorithm is a heuristic, stochastic, parallel search algorithm. The mutation operation is an integral part of the DE algorithm, relating to the basis and ...

Research published in Nature Ecology & Evolution introduces a novel method for inferring DNA methylation patterns in non-skeletal tissues from ancient specimens, providing new insights into human ...