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Kengo Sato

Kengo Sato

Professor

Tokyo Denki University, Japan

Kengo Sato is a professor at Tokyo Denki University School of System Design and Technology, Japan. He received his Ph.D. in Computer Science from Keio University, Japan, in 2003. He was awarded the Oxford Journals JSBi Prize in 2008 and the IPSJ Yamashita SIG Research Award in 2012. His research interests include bioinformatics, machine learning and life sciences. He develops innovative algorithms for sequence analysis and RNA informatics.

Latest

  • A new review paper has been published in Briefings in Bioinformatics
  • Recent trends in RNA informatics: a review of machine learning and deep learning for RNA secondary structure prediction and RNA drug discovery
  • Undergraduages joined our lab
  • Web servers for RNA secondary structure prediction
  • RNA Secondary Structure Prediction Based on Energy Models
  • A new review paper has been published in RNA Structure Prediction (Springer)
  • Gordon Research Conference
  • Direct inference of base-pairing probabilities with neural networks improves prediction of RNA secondary structures with pseudoknots
  • A new paper has been published in Genes
  • Integer programming for selecting set of informative markers in paternity inference

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