Researchers have developed a Michigan-style genetic fuzzy system that turns sparse multiple sclerosis records into ...

Building a good mathematics test is a surprisingly hard optimization problem. Every item in a test bank carries its own content domain, difficulty level, cognitive demand, and point value, and a ...

Haoyu Cheng, Ph.D., assistant professor of biomedical informatics and data science at Yale School of Medicine, has developed a new algorithm capable of building complete human genomes using standard ...

In 2001, researchers developed a formula, or algorithm, that predicts whether a specific change in a gene sequence can result in harmful effects. While useful, the algorithm was slow; the computations ...

Researchers have developed a new computational approach that enables more accurate selection of genes that characterize different cellular states from mRNA-seq data, offering a more interpretable way ...

Summary: University of Michigan researchers have developed FICTURE, a groundbreaking algorithm that, combined with their Seq-Scope technology, allows scientists to visualize gene expression at ...

Researchers have developed two algorithms to help fleets of drones inspect electricity infrastructure more efficiently, ...

Scientists in Spain have used genetic algorithms to optimize a feedforward artificial neural network for the prediction of energy generation of PV systems. Genetic algorithms use “parents” and ...