For this work we use two different machine learning algorithms, random forests and support vector machines. The models were trained and we tested fine-tuning methods including: balancing and feature ...

Additionally, AI algorithms can predict unknown metabolic pathways ... aligning with the objective of enhancing the precision and efficiency of functional annotation through these sophisticated ...

New research shows that the human brain automatically recognizes what actions an environment affords—like walking, climbing, ...

Using an algorithm they call the Krakencoder, researchers at Weill Cornell Medicine are a step closer to unraveling how the brain's wiring supports the way we think and act. The study, published June ...

The well-studied NF-κB signaling system is a key mediator of the inflammatory response. Large-scale sequencing studies in ...

The Reference Genome project has two primary goals: to increase the depth and breadth of annotations for genes in each of the organisms in the project, and to create data sets and tools that enable ...

While the answer of TypeScript’s creators is “yes,” academic researchers who work on similar programming languages tend to ...

This study provides important findings on the neural circuits underlying dishabituation of the olfactory avoidance response in Drosophila. The data as presented provide solid evidence that the ...

Department of Pharmacology and Molecular Sciences, Johns Hopkins University, Baltimore, United States ...

Abstract: Advanced Encryption Standard is the most acceptable and widely used symmetric algorithm. However, cyber attacks and security breaches are becoming very common day by day. Cyber attacks hit ...