Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...

The analysis of results for both fixed and variable SIPs indicates that the variable SIP investment strategy, derived from the genetic algorithm based on Python, can significantly improve investment ...

We present a high-throughput, end-to-end pipeline for organic crystal structure prediction (CSP)─the problem of identifying the stable crystal structures that will form from a given molecule based ...

This Python project uses neural networks and genetic algorithms to design bioinsecticide compounds targeting specific proteins. By leveraging IC50 values from FASTA sequences, it generates and ...

Studies have shown that deep neural networks (DNNs) are susceptible to adversarial attacks, which can cause misclassification. The adversarial attack problem can be regarded as an optimization problem ...

python data-science genetic-algorithm pandas data-analytics optimization-algorithms branch-cut branch-bound-algorithm milp-optimisation Updated Jan 1, 2025 Jupyter Notebook ...