42 citations
- The Graduate University for Advanced Studies, SOKENDAIJP7 papers
- Bank of JapanJP4 papers
- The Institute of Statistical MathematicsJP4 papers
- Nagoya UniversityJP2 papers
- Research Organization of Information and SystemsJP2 papers
- The University of OsakaJP2 papers
- The University of TokyoJP2 papers
- University of Electro-CommunicationsJP2 papers
- Academia SinicaTW1 paper
- Air Liquide (United Kingdom)GB1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- Food & NutritionNL1 paper
14 papers
Examining the assembly pathways and active microtubule mechanics underlying spindle self-organization
Lucan Yan, Tatsuya Fukuyama, Megumi Yamaoka +2
The bipolar organization of the microtubule-based mitotic spindle is essential for the faithful segregation of chromosomes in cell division. Despite our extensive knowledge of gene…
Characterization of the gelation and resulting network of a mixed-protein gel derived from sodium caseinate and ovalbumin in the presence of glucono--lactone
Naoko Yuno-Ohta, Naoya Shimonomura, Yuuka Hoshi +3
We investigated mixed-protein gels made from sodium caseinate and ovalbumin at different ratios with use of the acidification agent glucono--lactone. Dynamic viscoelastic measur…
Organization of fast and slow chromatin revealed by single-nucleosome dynamics
S. S. Ashwin, Tadasu Nozaki, Kazuhiro Maeshima +1
Understanding chromatin organization and dynamics is important since they crucially affect DNA functions. In this study, we investigate chromatin dynamics by statistically analyzin…
Essential role of long non-coding RNAs in de novo chromatin modifications: The genomic address code hypothesis
Ken Nishikawa, Akira R. Kinjo
The epigenome, i.e. the whole of chromatin modifications, is transferred from mother to daughter cells during cell differentiation. When de novo chromatin modifications (establishm…
Sparse principal component regression for generalized linear models
Shuichi Kawano, Hironori Fujisawa, Toyoyuki Takada +1
Principal component regression (PCR) is a widely used two-stage procedure: principal component analysis (PCA), followed by regression in which the selected principal components are…
Ridge Regression, Hubness, and Zero-Shot Learning
Yutaro Shigeto, Ikumi Suzuki, Kazuo Hara +2
This paper discusses the effect of hubness in zero-shot learning, when ridge regression is used to find a mapping between the example space to the label space. Contrary to the exis…