Feb. 15, 2024, 5:43 a.m. | Carlos Oliver, Vincent Mallet, J\'er\^ome Waldisp\"uhl

cs.LG updates on arXiv.org arxiv.org

arXiv:2402.09330v1 Announce Type: cross
Abstract: 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.

abstract arxiv building challenge cs.lg datasets design features function making modeling prediction q-bio.bm rna standardization studies tools type understanding

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