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Satoru Miyano

Researcher at Tokyo Medical and Dental University

Publications -  874
Citations -  45801

Satoru Miyano is an academic researcher from Tokyo Medical and Dental University. The author has contributed to research in topics: Gene & Gene regulatory network. The author has an hindex of 84, co-authored 811 publications receiving 38723 citations. Previous affiliations of Satoru Miyano include University of Paderborn & Institute of Medical Science.

Papers
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Journal ArticleDOI

Author Correction: Pan-cancer analysis of whole genomes

Lauri A. Aaltonen, +1320 more
- 25 Jan 2023 - 
Proceedings ArticleDOI

A new regulatory interaction suggested by simulations for circadian genetic control mechanism in mammals.

Hiroshi Matsuno, +4 more
TL;DR: In this article, a hybrid functional Petri net was employed to analyze mammalian circadian genetic control mechanisms, which consists of feedback loops of clock genes and generates endogenous near 24 h rhythms in mammals.
Posted ContentDOI

Identification of Bacteriophages Using Deep Representation Model with Pre-training

Zeheng Bai, +5 more
- 25 Sep 2021 - 
TL;DR: In this article, a deep representation learning model with pre-training is proposed to integrate the database-based and non-alignment-based methods (INHERIT), which is used as an alternative way for acquiring knowledge representations from existing databases.
Journal ArticleDOI

Classification of patients with cold sensation by a review of systems database: A single-centre observational study.

Tetsuhiro Yoshino, +6 more
- 01 Aug 2019 - 
TL;DR: Qi stagnation and blood stasis patterns(TM1) are related to a number of different accompanying symptoms in the patients with hypersensitivity to cold sensation.
Journal ArticleDOI

CSML2SBML: a novel tool for converting quantitative biological pathway models from CSML into SBML.

Chen Li, +4 more
- 01 Jul 2014 - 
TL;DR: A format convertor for quantitative pathway models, namely CSML2SBML is reported, which translates models encoded by CSML into SBML without loss of structural and kinetic information.