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Mathematical Model
Japanese
Research on mathematical models to elucidate the meaning of biological information and biological mechanisms. Pioneering the application of theoretical work such as stochastic models, kernel methods and searching algorithms, and of analyses of sequence information and metabolic/ signal transfer networks.
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Kernel matrix completion method via an em algorithm
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Research Results
Papers
  
Team's Web Site
  
Team Member
 
Team Leader : Kiyoshi Asai
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Keywords

stochastic model, functional RNA, comparative genomics, gene finding

Reference  
Team Leader : Kiyoshi Asai

Name
Keywords
Reference

Yutaka Ueno
Senior Research Scientist (A concurrent position)

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molecular graphics, programming language, single particle analysis, molecular imaging, structural biology

Details

Koji Tsuda
Research Scientist

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Machine learning, Kernel methods, Protein networks, Structured data

 

Taishin Kin
Research Scientist

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RNA, secondary structure, SCFG, stochastic context-free, grammar, kernel methods, SVM, support vector machine, marginalized kernel

A Novel Method for RNA Sequence Data Analysis

Hisanori Kiryu
AIST Research Staff

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ncRNA, sequence alignment, RNA secondary structure, promoter analysis

 

Michiko Yamana
AIST Research Staff

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