ResidualBind: Uncovering Sequence-Structure Preferences of RNA-Binding Proteins with Deep Neural Networks
Author:
Publisher
Springer US
Link
https://link.springer.com/content/pdf/10.1007/978-1-0716-2768-6_12
Reference34 articles.
1. Eraslan G et al (2019) Deep learning: new computational modelling techniques for genomics. Nat Rev Genet 20(7):389–403
2. Koo PK, Ploenzke M (2020) Deep learning for inferring transcription factor binding sites. Curr Opin Syst Biol 19:16–23. https://doi.org/10.1016/j.coisb.2020.04.001
3. Alipanahi B et al (2015) Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning. Nat Biotechnol 33(8):831–838
4. Gandhi S et al (2018) Deepbind: a context sensitive deep learning model of RNA-protein binding. bioRxiv 345140. https://doi.org/10.1101/345140
5. Ben-Bassat I et al (2018) A deep neural network approach for learning intrinsic protein-RNA binding preferences. Bioinformatics 34(17):i638–i646
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