Hiroaki Kitano

Affiliations: 
Systems Biology Institute 
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"Hiroaki Kitano"
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Parents

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Masaru Tomita research scientist 1988-1991 Carnegie Mellon (Computational Biology Tree)

Children

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Kaito Kikuchi research assistant 2013-2016 Systems Biology Institute
Archana Bajpai post-doc (Computational Biology Tree)
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Publications

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Keating SM, Waltemath D, König M, et al. (2020) SBML Level 3: an extensible format for the exchange and reuse of biological models. Molecular Systems Biology. 16: e9110
Nock R, Polouliakh N, Nielsen F, et al. (2020) A Geometric Clustering Tool (AGCT) to robustly unravel the inner cluster structures of time-series gene expressions. Plos One. 15: e0233755
Uchida S, Asai Y, Kariya Y, et al. (2019) Integrative and theoretical research on the architecture of a biological system and its disorder. The Journal of Physiological Sciences : Jps
Bajpai A, Ishii T, Miyauchi K, et al. (2017) Insights into gene expression profiles induced by Socs3 depletion in keratinocytes. Scientific Reports. 7: 15830
Kawakami E, Nakaoka S, Ohta T, et al. (2016) Weighted enrichment method for prediction of transcription regulators from transcriptome and global chromatin immunoprecipitation data. Nucleic Acids Research. 44: 5010-21
Nim HT, Furtado MB, Costa MW, et al. (2015) VISIONET: intuitive visualisation of overlapping transcription factor networks, with applications in cardiogenic gene discovery. Bmc Bioinformatics. 16: 141
Asai Y, Abe T, Oka H, et al. (2014) A Versatile Platform for Multilevel Modeling of Physiological Systems: SBML-PHML Hybrid Modeling and Simulation Advanced Biomedical Engineering. 3: 50-58
Ghosh S, Matsuoka Y, Asai Y, et al. (2013) Toward an integrated software platform for systems pharmacology. Biopharmaceutics & Drug Disposition. 34: 508-26
Schaefer MH, Lopes TJ, Mah N, et al. (2013) Adding protein context to the human protein-protein interaction network to reveal meaningful interactions. Plos Computational Biology. 9: e1002860
Makanae K, Kintaka R, Makino T, et al. (2013) Identification of dosage-sensitive genes in Saccharomyces cerevisiae using the genetic tug-of-war method. Genome Research. 23: 300-11
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