HIGHLIGHTS
- who: Eric Pellegrino and colleagues from the Centre Hospitalier Clairval, Departement de Neurochirurgie, France have published the research work: Deep Learning Architecture Optimization with Metaheuristic Algorithms for Predicting BRCA1/BRCA2 Pathogenicity NGS Analysis, in the Journal: Biomedinformatics 2022, 2, 244-267. of /2022/
- what: The authors present the two packages that the authors have developed the genetic algorithm (GA) and the pArticle swarm optimization (PSO) to optimize the parameters of the neural network for predicting BRCA1 and BRCA2 pathogenicity; Results the authors will compare the results obtained by the two algorithms. The second constraint is . . .
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