3D-based RNA function prediction tools in rnaglib
<|reference_start|>3D-based RNA function prediction tools in rnaglib: Understanding the connection between complex structural features of RNA and biological function is a fundamental challenge in evolutionary studies and in RNA design. However, building datasets of RNA 3D structures and making appropriate modeling choices remains time-consuming and lacks standardization. In this chapter, we describe the use of rnaglib, to train supervised and unsupervised machine learning-based function prediction models on datasets of RNA 3D structures.<|reference_end|>
@article{oliver20243d-based,
    title={3D-based RNA function prediction tools in rnaglib},
    author={Carlos Oliver, Vincent Mallet, J'er^ome Waldisp"uhl},
    journal={arXiv preprint arXiv:2402.09330},
    year={2024},
    archivePrefix={arXiv},
    eprint={2402.09330},
    primaryClass={q-bio.BM cs.LG}
}