Miyano, Satoru
Tokyo Medical and Dental University · M&D Data Science Center
17 papers on CoChatORCID 0000-0002-1753-6616
Most cited papers
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The repertoire of mutational signatures in human cancer
Alexandrov, L. B., Kim, J., Haradhvala, N. J., Huang, M. N., Tian Ng, A. W., Wu, Y., Boot, A., Covington, K. R., Gordenin, D. A., Bergstrom, E. N., et al. (2020) · Nature
Cancer Genomics and DiagnosticsChromatin Remodeling and Cancer
Cited by 3,496
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Pan-cancer analysis of whole genomes
The ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Consortium, Aaltonen, L. A., Abascal, F., Abeshouse, A., Aburatani, H., Adams, D. J., Agrawal, N., Ahn, K. S., Ahn, S.-M., Aikata, H., et al. (2020) · Nature
Cancer Genomics and DiagnosticsChromatin Remodeling and Cancer
Cited by 3,064
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Frequent pathway mutations of splicing machinery in myelodysplasia
Yoshida, K., Sanada, M., Shiraishi, Y., Nowak, D., Nagata, Y., Yamamoto, R., Sato, Y., Sato-Otsubo, A., Kon, A., Nagasaki, M., et al. (2011) · Nature
RNA Research and SplicingAcute Myeloid Leukemia Research
Cited by 2,029
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Landscape of genetic lesions in 944 patients with myelodysplastic syndromes
Haferlach, T., Nagata, Y., Grossmann, V, Okuno, Y., Bacher, U., Nagae, G., Schnittger, S., Sanada, M., Kon, A., Alpermann, T., et al. (2014) · Leukemia
Acute Myeloid Leukemia ResearchCancer Genomics and Diagnostics
Cited by 1,532
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The evolutionary history of 2,658 cancers
Gerstung, M., Jolly, C., Leshchiner, I., Dentro, S. C., Gonzalez, S., Rosebrock, D., Mitchell, T. J., Rubanova, Y., Anur, P., Yu, K., et al. (2020) · Nature
Cancer Genomics and DiagnosticsChromatin Remodeling and Cancer
Cited by 1,057
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Mutational landscape and clonal architecture in grade II and III gliomas
Suzuki, H., Aoki, K., Chiba, K., Sato, Y., Shiozawa, Y., Shiraishi, Y., Shimamura, T., Niida, A., Motomura, K., Ohka, F., et al. (2015) · Nature Genetics
Glioma Diagnosis and TreatmentCancer Genomics and Diagnostics
Cited by 831
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Somatic Mutations and Clonal Hematopoiesis in Aplastic Anemia
Yoshizato, T., Dumitriu, B., Hosokawa, K., Makishima, H., Yoshida, K., Townsley, D., Sato-Otsubo, A., Sato, Y., Liu, D., Suzuki, H., et al. (2015) · New England Journal of Medicine
Acute Myeloid Leukemia ResearchBlood disorders and treatments
Cited by 646
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Age-related remodelling of oesophageal epithelia by mutated cancer drivers
Yokoyama, A., Kakiuchi, N., Yoshizato, T., Nannya, Y., Suzuki, H., Takeuchi, Y., Shiozawa, Y., Sato, Y., Aoki, K., Kim, S. K., et al. (2019) · Nature
Cancer Genomics and DiagnosticsEsophageal Cancer Research and Treatment
Cited by 628
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Prognostic relevance of genetic alterations in diffuse lower-grade gliomas
Aoki, K., Nakamura, H., Suzuki, H., Matsuo, K., Kataoka, K., Shimamura, T., Motomura, K., Ohka, F., Shiina, S., Yamamoto, T., et al. (2018) · Neuro-Oncology
Glioma Diagnosis and TreatmentAcute Myeloid Leukemia Research
Cited by 307
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Identification of novel adrenomedullin in mammals: a potent cardiovascular and renal regulator
Takei, Y., Inoue, K., Ogoshi, M., Kawahara, T., Bannai, H., & Miyano, S. (2004) · FEBS Letters
Neuropeptides and Animal PhysiologyCardiovascular, Neuropeptides, and Oxidative Stress Research
Cited by 268
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Dynamic Bayesian network and nonparametric regression for nonlinear modeling of gene networks from time series gene expression data
Kim, S., Imoto, S., & Miyano, S. (2004) · Biosystems
Gene Regulatory Network AnalysisGene expression and cancer classification
Cited by 224
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Recurrent somatic mutations underlie corticotropin-independent Cushing’s syndrome
Sato, Y., Maekawa, S., Ishii, R., Sanada, M., Morikawa, T., Shiraishi, Y., Yoshida, K., Nagata, Y., Sato-Otsubo, A., Yoshizato, T., et al. (2014) · Science
Adrenal and Paraganglionic TumorsPituitary Gland Disorders and Treatments
Cited by 209
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Recurrent SPI1 (PU.1) fusions in high-risk pediatric T cell acute lymphoblastic leukemia
Seki, M., Kimura, S., Isobe, T., Yoshida, K., Ueno, H., Nakajima-Takagi, Y., Wang, C., Lin, L., Kon, A., Suzuki, H., et al. (2017) · Nature Genetics
Acute Lymphoblastic Leukemia researchT-cell and Retrovirus Studies
Cited by 138
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Comprehensive phosphoproteome analysis unravels the core signaling network that initiates the earliest synapse pathology in preclinical Alzheimer's disease brain
Tagawa, K., Homma, H., Saito, A., Fujita, K., Chen, X., Imoto, S., Oka, T., Ito, H., Motoki, K., Yoshida, C., et al. (2015) · Human Molecular Genetics
Alzheimer's disease research and treatmentsAdvanced Proteomics Techniques and Applications
Cited by 86
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Comparing Pearson, Spearman and Hoeffding’s D measure for gene expression association analysis
FUJITA, A., SATO, J. R., DEMASI, M. A. A., SOGAYAR, M. C., FERREIRA, C. E., & MIYANO, S. (2009) · Journal of Bioinformatics and Computational Biology
Gene expression and cancer classificationBioinformatics and Genomic Networks
Cited by 64
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Statistically and functionally fine-mapped blood eQTLs and pQTLs from 1,405 humans reveal distinct regulation patterns and disease relevance
Wang, Q. S., Hasegawa, T., Namkoong, H., Saiki, R., Edahiro, R., Sonehara, K., Tanaka, H., Azekawa, S., Chubachi, S., Takahashi, Y., et al. (2024) · Nature Genetics
Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals
Cited by 43
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Exploring temporal transcription regulation structure of Aspergillus fumigatus in heat shock by state space model
Do, J. H., Yamaguchi, R., & Miyano, S. (2009) · BMC Genomics
Fungal and yeast genetics researchGene Regulatory Network Analysis
Cited by 42
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