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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.

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Journal ArticleDOI

A unified simulation model for understanding the diversity of cancer evolution.

TL;DR: A unified simulation model is constructed and sensitivity analysis is performed on the model to determine the conditions in which cancer growth is driven by each of the different evolutionary processes, helping to understand in greater depth the diversity of cancer evolution.

How to Model and Simulate Biological Pathways with Petri Nets - A New Challenge for Systems Biology - ∗

TL;DR: This work surveyed which architecture is suitable when modeling and simulating biopathway for biological and medical scientists and concluded that an architecture based on Petri nets should be suitable because of their intuitive graphical representation and their capabilities for mathematical analyses.
Journal ArticleDOI

Chronological Analysis of Clonal Evolution in Acquired Aplastic Anemia

TL;DR: Targeted deep sequencing and SNP array-based copy number (CN) analysis of peripheral blood- or granulocyte-derived DNA from 439 patients with AA provided highly concordant results between the US and Japanese cohorts, and presence of an acquired mutation was associated with older age, but did not correlate with response to immunosuppressive therapy (IST), overall survival (OS).
Journal ArticleDOI

Molecular Heterogeneity in Peripheral T-Cell Lymphoma Not Otherwise Specified Revealed By Comprehensive Mutational Profiling

TL;DR: This work analyzed and investigated the co-existence relationship between frequently altered genes in PTCL-NOS and discovered several genes almost exclusively affected by SVs, including TP73, IKZF2, and NFKB2 , and CD274, which shed light on a new biological function of these genes.
Book ChapterDOI

Parallel agent-based simulator for influenza pandemic

TL;DR: A parallel agent-based influenza pandemic simulator, in which a city consists of several towns connected tightly by trains, and the influenza spread in these congested places is simulated as stochastic processes.