Researchers have successfully employed an algorithm to identify potential mutations which increase disease risk in the noncoding regions our DNA, which make up the vast majority of the human genome.

What makes this dataset especially valuable is its ability to support genome-wide association studies, which can help identify specific genetic variations associated with particular behavioral traits.

More sustainable chemical processes require the selection of suitable molecules, which can be supported by computer-aided molecular design (CAMD). CAMD often generates and evaluates molecular ...

This repository contains a Python package that implements the k-Nearest Neighbors (k-NN) algorithm for classifying Iris flowers into three species: setosa, versicolor, and virginica. The package uses ...

This research proposes a method for diagnosing cholesterol by extracting texture or image features and classifying them using genetic algorithms and wavalet for texture feature extraction as well as ...

"A genetic algorithm for phononic crystals." ScienceDaily. ScienceDaily, 3 July 2024. <www.sciencedaily.com / releases / 2024 / 07 / 240703131750.htm>.