Eight babies in the United Kingdom have been born using DNA from a third person to eliminate the risk of them developing an ...

This method integrates methylation and sequence data from Oxford Nanopore long-read sequencing with chromosome-length haplotypes generated from Strand-seq, leveraging the accurate phasing of imprinted ...

Deep learning algorithm used to pinpoint potential disease-causing variants in non-coding regions of the human genome The methods help identify 'footprints' that indicate binding sites and reveal ...

Therefore, it is desirable for selection mechanisms to be able to automatically tune selection pressure during evolution. Tournament selection is a popular selection method in EAs, especially genetic ...

Unlike other models that use memory-intensive applications like gradient descent to train their neural networks, [Jean Michel Sellier] is using a genetic algorithm to work within the confines of ...

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 ...

Shalaby & Kashkoush (2013) proposed the particle swarm optimization algorithm for a 2D irregular strip packing problem. Júnior et al. (2017) proposed a parallel Biased Random-Key Genetic Algorithm ...

In this paper, an oracle parental selection method and an oracle TP update method are proposed. Both oracle methods are compared with existing, state-of-the-art selection methods. In the case of TP ...