K
Kiyoshi Asai
Researcher at University of Tokyo
Publications - 200
Citations - 11475
Kiyoshi Asai is an academic researcher from University of Tokyo. The author has contributed to research in topics: Gene & Nucleic acid secondary structure. The author has an hindex of 46, co-authored 192 publications receiving 10456 citations. Previous affiliations of Kiyoshi Asai include National Institute of Advanced Industrial Science and Technology & Nara Institute of Science and Technology.
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Journal ArticleDOI
Minimizing the Cross Validation Error to Mix Kernel Matrices of Heterogeneous Biological Data
TL;DR: Two ways to mix kernel matrices are presented, where the mixing weights are optimized to minimize the cross validation error and significantly outperformed single kernel classifiers in most cases.
Journal ArticleDOI
Prediction of Conserved Precursors of miRNAs and Their Mature Forms by Integrating Position-Specific Structural Features
TL;DR: Zhang et al. as discussed by the authors utilized position-specific features of miRNA hairpins to improve their identification. And they proposed a probabilistic framework, miRRim2, which integrated the evolutionary and structurally conserved features in each position of the hairpins with heuristically derived values.
Proceedings Article
A Multi-Level Description Scheme of Protein Conformation
TL;DR: The analysis of the relation between primary structure of a region and the subconformation of that region at each level in this description helps to model both local and global interactions of protein structure formation.
Journal ArticleDOI
CDSfold: an algorithm for designing a protein-coding sequence with the most stable secondary structure.
TL;DR: An algorithm for designing a CDS with the most stable secondary structure among all possible ones translated into the same protein, and implemented as the program CDSfold, which is freely available for non-commercial users as stand-alone and web-based software.
Journal ArticleDOI
Processing Sequence Annotation Data Using the Lua Programming Language
TL;DR: The sequence visualization program was successfully implemented, embedding the Lua language for processing of annotation data and layout script and the program is available at http://staff.aist.go.ueno/guppy/.