ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...

Zhapa-Camacho, F., Kulmanov, M. and Hoehndorf, R. (2022) Mowl Python Library for Machine Learning with Biomedical Ontologies. Bioinformatics, 39, btac811.

The field of Bioinformatics, which serves as a link between biology and computer science, is enabling substantial progress in animal genetics and breeding initiatives. This study explores the ...

This is the course material of the "First Steps with Python in Life Science" three-day course of SIB-training The course is addressed to beginners wanting to become familiar with the Python syntax, ...

Graph neural networks (GNNs), as a branch of deep learning in non-Euclidean space, perform particularly well in various tasks that process graph structure data. With the rapid accumulation of ...

As part of this process, this ‘grand challenge’ article has been written to accompany the launch of the Data Visualization section in the newly created journal Frontiers in Bioinformatics—the first ...