Author

Hidenori Ochi

Hiroshima University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Genomics· 1

Signature Assays, Organisms & Methods

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Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

Daichi ShigemizuiD· 1 shared Hisashi NomaiD· 1 shared Jo NishinoiD· 1 shared Katsunori IkariiD· 1 shared Keith A. BoroevichiD· 1 shared Kota MatsuiiD· 1 shared Mamoru KatoiD· 1 shared Shigeyuki MatsuiiD· 1 shared

Activity by Year

2018-2018 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperGenomics

Daichi ShigemizuORCID

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1 paper

Recent·Most cited

Empirical Bayes estimation of semi-parametric hierarchical mixture models for unbiased characterization of polygenic disease architectures

Jo Nishino, Yuta Kochi, Daichi Shigemizu, Mamoru Kato, Katsunori Ikari, Hidenori Ochi, Hisashi Noma, Kota Matsui, Takashi Morizono, Keith A. Boroevich, Tatsuhiko Tsunoda, Shigeyuki Matsui

The paper uses empirical Bayes estimation of semi-parametric hierarchical mixture models to analyze GWAS summary statistics and characterize the polygenic architectures of schizophrenia and rheumatoid arthritis.

Frontiers in Genetics · Apr 24, 2018Peer-reviewedGenomics