Research field (4):
Statistical science
, Genomics
, Biological, health, and medical informatics
, Systems genomics
Research keywords (3):
aging
, Statistical Genetics
, Computational Biology
Research theme for competitive and other funds (4):
2021 - 2023 幾何学と関数データ解析による医学・生命科学の時空間データマイニング
2021 - 2021 2021年度第I期若手研究者スタートアップ研究費
2019 - 2021 情報幾何を用いた、細胞集団プロファイルの異同とその生物学的背景の統合解析
2020 - 2021 1細胞発現データセットを対象とした機械学習
Papers (10):
Daigo Okada, Cheng Zheng, Jian Hao Cheng. Mathematical model for the relationship between single-cell and bulk gene expression to clarify the interpretation of bulk gene expression data. Computational and structural biotechnology journal. 2022. 20. 4850-4859
Daigo Okada, Yosuke Okamoto, Toshiro Io, Miho Oka, Daiki Kobayashi, Suzuka Ito, Ryo Yamada, Kuniaki Ishii, Kyoichi Ono. Comparative Study of Transcriptome in the Hearts Isolated from Mice, Rats, and Humans. Biomolecules. 2022. 12. 6
Daigo Okada, Cheng Zheng, Jian Hao Cheng, Ryo Yamada. Cell population-based framework of genetic epidemiology in the single-cell omics era. BioEssays : news and reviews in molecular, cellular and developmental biology. 2021. e2100118
Daigo Okada, Jian Hao Cheng, Cheng Zheng, Ryo Yamada. Data-driven comparison of multiple high-dimensional single-cell expression profiles. Journal of human genetics. 2021
Daigo Okada, Naotoshi Nakamura, Kazuya Setoh, Takahisa Kawaguchi, Koichiro Higasa, Yasuharu Tabara, Fumihiko Matsuda, Ryo Yamada. Genome-wide association study of individual differences of human lymphocyte profiles using large-scale cytometry data. Journal of human genetics. 2020. 66. 6. 557-567