Papers

Predicting Splicing from Primary Sequence with Deep Learning.

RiNALMo: general-purpose RNA language models can generalize well on structure prediction tasks.

Machine learning for RNA secondary structure prediction: a review of current methods and challenges.

Crosstalk between RNA secondary and three-dimensional structure prediction: a comprehensive study.

Inferring the qualities of protein-RNA models with graph transformers.

GARN3: A coarse-grained helix centered technique for RNA 3D structures prediction.