Fingerprint The fingerprint is based on mining the text of the scientific documents related to the associated persons. Based on that an index of weighted terms is created, which defines the key subjects of research unit

Proteins Engineering & Materials Science
Drug Interactions Medicine & Life Sciences
Pharmaceutical Preparations Chemical Compounds
Metabolic Networks and Pathways Medicine & Life Sciences
Metabolome Medicine & Life Sciences
Drug-Related Side Effects and Adverse Reactions Medicine & Life Sciences
Genome Medicine & Life Sciences
Classifiers Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2012 2017

  • 22 Article
  • 2 Conference contribution
  • 2 Review article
10 Citations (Scopus)

Elucidating the modes of action for bioactive compounds in a cell-specific manner by large-scale chemically-induced transcriptomics

Iwata, M., Sawada, R., Iwata, H., Kotera, M. & Yamanishi, Y., Jan 10 2017, In : Scientific reports. 7, 40164.

Research output: Contribution to journalArticle

Drug Repositioning
Cell Line
Systems Biology
Drug Discovery
3 Citations (Scopus)

GGIP: Structure and sequence-based GPCR–GPCR interaction pair predictor

Nemoto, W., Yamanishi, Y., Limviphuvadh, V., Saito, A. & Toh, H., Sep 1 2016, In : Proteins: Structure, Function and Bioinformatics. 84, 9, p. 1224-1233 10 p.

Research output: Contribution to journalArticle

G-Protein-Coupled Receptors
Biological Phenomena
ROC Curve
6 Citations (Scopus)

Scalable partial least squares regression on grammar-compressed data matrices

Tabei, Y., Saigo, H., Yamanishi, Y. & Puglisi, S. J., Aug 13 2016, KDD 2016 - Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 1875-1884 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. 13-17-August-2016).

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

Data mining
Feature extraction