His primary areas of study are Genetics, Gene, Mutation, Cancer research and Leukemia. His Gene study integrates concerns from other disciplines, such as Algorithm, Computational biology and Akaike information criterion. Satoru Miyano interconnects Cancer, Internal medicine, Somatic evolution in cancer, Molecular biology and NPM1 in the investigation of issues within Mutation.
His research in Cancer research intersects with topics in Cancer cell and T-cell lymphoma, Lymphoma. The various areas that Satoru Miyano examines in his Leukemia study include Myeloid, Myeloid leukemia and Myelodysplastic syndromes. Satoru Miyano combines subjects such as Bayes' theorem and Gene expression profiling with his study of Gene regulatory network.
His primary scientific interests are in Genetics, Gene, Cancer research, Computational biology and Gene regulatory network. His Genetics study deals with Myeloid intersecting with Myelodysplastic syndromes. His Gene expression, Gene expression profiling and RNA splicing investigations are all subjects of Gene research.
His research in Cancer research focuses on subjects like Leukemia, which are connected to Myeloid leukemia. Computational biology is closely attributed to Bioinformatics in his work. His studies deal with areas such as Microarray analysis techniques, Bayesian network, Artificial intelligence and Data mining as well as Gene regulatory network.
His primary areas of investigation include Cancer research, Cancer, Internal medicine, Gene and Mutation. His Cancer research research is multidisciplinary, incorporating perspectives in Exome sequencing, Leukemia, KRAS and Carcinogenesis. His study focuses on the intersection of Leukemia and fields such as Myeloid with connections in the field of Myelodysplastic syndromes.
His study looks at the relationship between Cancer and fields such as Computational biology, as well as how they intersect with chemical problems. His Internal medicine research is multidisciplinary, incorporating elements of Oncology and Gene mutation. His Gene study results in a more complete grasp of Genetics.
Satoru Miyano mainly investigates Cancer research, Exome sequencing, Mutation, Internal medicine and Leukemia. His Cancer research study combines topics from a wide range of disciplines, such as Carcinogenesis, Cancer, Colorectal cancer, T cell and Neuroblastoma RAS viral oncogene homolog. His Exome sequencing research incorporates themes from KRAS, Germline mutation, Computational biology and Genomics.
His Mutation study improves the overall literature in Genetics. His Internal medicine research integrates issues from Immunology and Oncology. The concepts of his Leukemia study are interwoven with issues in Somatic cell, Myeloid, Myeloid leukemia, Lymphoma and Bone marrow.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Open source clustering software
M.J.L. De Hoon;S. Imoto;J. Nolan;S. Miyano.
Bioinformatics (2004)
Frequent pathway mutations of splicing machinery in myelodysplasia
Kenichi Yoshida;Masashi Sanada;Yuichi Shiraishi;Daniel Nowak.
Nature (2011)
International network of cancer genome projects
Thomas J. Hudson;Thomas J. Hudson;Warwick Anderson;Axel Aretz;Anna D. Barker.
(2010)
Landscape of genetic lesions in 944 patients with myelodysplastic syndromes
T Haferlach;Y Nagata;V Grossmann;Y Okuno.
Leukemia (2014)
Long Noncoding RNA HOTAIR Regulates Polycomb-Dependent Chromatin Modification and Is Associated with Poor Prognosis in Colorectal Cancers
Ryunosuke Kogo;Teppei Shimamura;Koshi Mimori;Kohichi Kawahara.
Cancer Research (2011)
Pan-cancer analysis of whole genomes
Peter J. Campbell;Gad Getz;Jan O. Korbel;Joshua M. Stuart.
(2020)
Identification of genetic networks from a small number of gene expression patterns under the Boolean network model.
Tatsuya Akutsu;Satoru Miyano;Satoru Kuhara.
pacific symposium on biocomputing (1998)
Integrated molecular analysis of clear-cell renal cell carcinoma.
Yusuke Sato;Tetsuichi Yoshizato;Yuichi Shiraishi;Shigekatsu Maekawa.
Nature Genetics (2013)
Whole-genome sequencing of liver cancers identifies etiological influences on mutation patterns and recurrent mutations in chromatin regulators
Akihiro Fujimoto;Yasushi Totoki;Tetsuo Abe;Keith A. Boroevich.
Nature Genetics (2012)
Extensive feature detection of N-terminal protein sorting signals.
Hideo Bannai;Yoshinori Tamada;Osamu Maruyama;Kenta Nakai.
Bioinformatics (2002)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:
Kyoto University
University of Tokyo
Kyoto University
Nagoya University
Cleveland Clinic
Gunma Children's Medical Center
Kyushu University
University of Tsukuba
Cleveland Clinic
Kyushu University
Institute for Development and Research in Banking Technology
Google (United States)
Karlsruhe Institute of Technology
Zhejiang University
Seoul National University
Pacific Northwest National Laboratory
University of Otago
Australian National University
Radboud University Nijmegen
University of Chicago
Medical University of Vienna
Louisiana State University
University of Navarra
University College London
Maastricht University
University of Geneva