moPepGen leverages a graph-based approach to improve the detection of hidden protein variants in a computationally efficient manner.

Genetic algorithms evaluate potential solutions by evolving them over many generations and keeping the ones which work best each time.

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request ...

We present an artificial intelligence-guided approach to design durable and chemically recyclable ring-opening polymerization (ROP) class polymers. This approach employs a genetic algorithm (GA) that ...

Luke Fox: The goal of using the genetic algorithm was to create an optimal massing that prioritized the creation of a central public square and maximized views for the building's occupants.

Researchers tested phononic nanomaterials designed with an automated genetic algorithm that responded to light pulses with controlled vibrations. This work may help in the development of next ...

With the help of simulated value from MATLAB, torque characteristics have been determined for different torque ratios and optimum torque has been derived using a genetic algorithm to move the ...

An independent evaluation using methodology like the one used to test AvertD found that the algorithm gave the appearance of predicting genetic risk but was not a true measure of genetic risk ...