Research Output per year
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
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 journal › Article
Drug Repositioning
Cell Line
Proteins
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 journal › Article
G-Protein-Coupled Receptors
Oligomerization
Dimers
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 proceeding › Conference contribution
Data mining
Scalability
Feature extraction
Costs
Industry