A small region of the brain, known as the ventral tegmental area (VTA), plays a key role in how we process rewards. It ...

Using an algorithm they call the Krakencoder, researchers at Weill Cornell Medicine are a step closer to unraveling how the ...

Pathway-focused metabolite ratio-based analysis of 49 tumor and 8 normal epithelial cell lines grown in their respective ...

An international research team, led by Jian-Feng Mao, has developed PlantLncBoost, a new computational tool that helps to ...

Researchers at Colorado State University have developed a tool that can be used to switch a plant's key genetic traits on or ...

Moreover, genetic algorithms should not be used for analytical problems, which are better suited for traditional problem solving systems. What Is the Difference Between a Genetic Algorithm and a ...

Abstract: In this paper, we present an efficient crossover operator for real-coded genetic algorithm that breeds offspring based on difference between individuals. In the proposed crossover operator, ...

In a recent study published in Cell Reports, researchers identified look-alike humans, who were genetically unrelated, using facial recognition (FR) algorithms for multi-omics studies ...

This article introduced a color point cloud registration algorithm optimized by a genetic ... is between 0 and 255, which is widely used in the field of computer vision. However, the uniformity of the ...