Machine learning-guided protein engineering
Recent progress in engineering highly promising biocatalysts has increasingly involved
machine learning methods. These methods leverage existing experimental and simulation …
machine learning methods. These methods leverage existing experimental and simulation …
Lessons learned to boost a bioinformatics knowledge base reusability, the Bgee experience
T Mendes de Farias, J Wollbrett… - …, 2023 - academic.oup.com
Background Enhancing interoperability of bioinformatics knowledge bases is a high-priority
requirement to maximize data reusability and thus increase their utility such as the return on …
requirement to maximize data reusability and thus increase their utility such as the return on …
Boosting interoperability: towards an increasingly reusable bioinformatics knowledge base
TM de Farias, J Wollbrett, M Robinson-Rechavi… - arXiv preprint arXiv …, 2023 - arxiv.org
Background, enhancing interoperability of bioinformatics knowledge bases is a high priority
requirement to maximize data reusability, and thus increase their utility such as the return on …
requirement to maximize data reusability, and thus increase their utility such as the return on …
How to Cite a Web Ranking and Make it FAIR
A Lotta, G Silvello - International Conference on Theory and Practice of …, 2023 - Springer
Citing data is crucial for acknowledging and recognizing the contributions of experts,
scientists, and institutions in creating and maintaining high-quality datasets. It ensures …
scientists, and institutions in creating and maintaining high-quality datasets. It ensures …
Check for How to Cite a Web Ranking and Make it FAIR
A Lotta - Linking Theory and Practice of Digital Libraries: 27th …, 2023 - books.google.com
Citing data is crucial for acknowledging and recognizing the contributions of experts,
scientists, and institutions in creating and maintaining high-quality datasets. It ensures …
scientists, and institutions in creating and maintaining high-quality datasets. It ensures …