Kengo Sato, Michiaki Hamada. Recent trends in RNA informatics: a review of machine learning and deep learning for RNA secondary structure prediction and RNA drug discovery. Briefings in Bioinformatics. 2023
Manato Akiyama, Yasubumi Sakakibara, Kengo Sato. Direct inference of base-pairing probabilities with neural networks improves prediction of RNA secondary structures with pseudoknots,. Genes. 2022. 13. 11. 2155
Soichiro Nishiyama, Kengo Sato, Ryutaro Tao. Integer programming for selecting set of informative markers in paternity inference,. BMC Bioinformatics. 2022. 23. 1. 265-265
Kengo Sato, Yuki Kato. Prediction of RNA secondary structure including pseudoknots for long sequences,. Briefings in Bioinformatics. 2022. 23. 1
Shunya Kashiwagi, Kengo Sato, Yasubumi Sakakibara. A max-margin model for predicting residue-base contacts in protein-RNA interactions,. Life. 2021. 11. 11. 1135