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Fingerprint Dive into the research topics where Hiroto Saigo is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Proteins Engineering & Materials Science
Secondary Metabolism Medicine & Life Sciences
Learning systems Engineering & Materials Science
Alignment Mathematics
kernel Mathematics
Viruses Engineering & Materials Science
Mutation Mathematics
Protein Mathematics

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Research Output 2004 2019

  • 1015 Citations
  • 10 h-Index
  • 18 Article
  • 7 Conference contribution
  • 2 Chapter

RF-GlutarySite: A random forest based predictor for glutarylation sites

Al-Barakati, H. J., Saigo, H., Newman, R. H. & Kc, D. B., Jan 1 2019, In : Molecular Omics. 15, 3, p. 189-204 16 p.

Research output: Contribution to journalArticle

Lysine
Proteomics
Sumoylation
Sensitivity and Specificity
Acetylation

Entire Regularization Path for Sparse Nonnegative Interaction Model

Takayanagi, M., Tabei, Y. & Saigo, H., Dec 27 2018, 2018 IEEE International Conference on Data Mining, ICDM 2018. Institute of Electrical and Electronics Engineers Inc., p. 1254-1259 6 p. 8594977. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 2018-November).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Experiments
2 Citations (Scopus)

RF-NR: Random Forest Based Approach for Improved Classification of Nuclear Receptors

Ismail, H. D., Saigo, H. & Kc, D. B., Nov 1 2018, In : IEEE/ACM Transactions on Computational Biology and Bioinformatics. 15, 6, p. 1844-1852 9 p., 8107505.

Research output: Contribution to journalArticle

Random Forest
Cytoplasmic and Nuclear Receptors
Receptor
Nuclear Proteins
Proteins
1 Citation (Scopus)

Structural Class Classification of 3D Protein Structure Based on Multi-View 2D Images

Suryanto, C. H., Saigo, H. & Fukui, K., Jan 1 2018, In : IEEE/ACM Transactions on Computational Biology and Bioinformatics. 15, 1, p. 286-299 14 p., 7555308.

Research output: Contribution to journalArticle

Protein Structure
Proteins
Alignment
Subspace
Dissimilarity
2 Citations (Scopus)

CNN-BLPred: A Convolutional neural network based predictor for β-Lactamases (BL) and their classes

White, C., Ismail, H. D., Saigo, H. & KC, D. B., Dec 28 2017, In : BMC bioinformatics. 18, 577.

Research output: Contribution to journalArticle

Predictors
Neural Networks
Neural networks
Enzymes
Feature extraction