| Application of artificial intelligence technology in oncology: Towards the establishment of precision medicine R Hamamoto, K Suvarna, M Yamada, K Kobayashi, N Shinkai, M Miyake, ... Cancers 12 (12), 3532, 2020 | 154 | 2020 |
| Predicting deep learning based multi-omics parallel integration survival subtypes in lung cancer using reverse phase protein array data S Takahashi, K Asada, K Takasawa, R Shimoyama, A Sakai, A Bolatkan, ... Biomolecules 10 (10), 1460, 2020 | 50 | 2020 |
| Integrated analysis of whole genome and epigenome data using machine learning technology: toward the establishment of precision oncology K Asada, S Kaneko, K Takasawa, H Machino, S Takahashi, N Shinkai, ... Frontiers in oncology 11, 666937, 2021 | 33 | 2021 |
| Application of artificial intelligence in COVID-19 diagnosis and therapeutics K Asada, M Komatsu, R Shimoyama, K Takasawa, N Shinkai, A Sakai, ... Journal of Personalized Medicine 11 (9), 886, 2021 | 24 | 2021 |
| Characteristics of induced mutations in offspring derived from irradiated mouse spermatogonia and mature oocytes Y Satoh, J Asakawa, M Nishimura, T Kuo, N Shinkai, HM Cullings, ... Scientific Reports 10 (1), 37, 2020 | 24 | 2020 |
| Application of non-negative matrix factorization in oncology: one approach for establishing precision medicine R Hamamoto, K Takasawa, H Machino, K Kobayashi, S Takahashi, ... Briefings in bioinformatics 23 (4), bbac246, 2022 | 21 | 2022 |
| Single-cell analysis using machine learning techniques and its application to medical research K Asada, K Takasawa, H Machino, S Takahashi, N Shinkai, A Bolatkan, ... Biomedicines 9 (11), 1513, 2021 | 14 | 2021 |
| Epigenetic mechanisms underlying COVID-19 pathogenesis S Kaneko, K Takasawa, K Asada, N Shinkai, A Bolatkan, M Yamada, ... Biomedicines 9 (9), 1142, 2021 | 13 | 2021 |
| Application of artificial intelligence technology in oncology: towards the establishment of precision medicine. Cancers (Basel). 2020 R Hamamoto, K Suvarna, M Yamada, K Kobayashi, N Shinkai, M Miyake | 7 | |
| Kanto Shozu, Ai Dozen, Hidenori Machino, Satoshi Takahashi, Ken Asada, Masaaki Komatsu, Jun Sese, and Syuzo Kaneko R Hamamoto, K Suvarna, M Yamada, K Kobayashi, N Shinkai, M Miyake Application of artificial intelligence technology in oncology: Towards the …, 2020 | 5 | 2020 |
| Analysis of super-enhancer using machine learning and its application to medical biology R Hamamoto, K Takasawa, N Shinkai, H Machino, N Kouno, K Asada, ... Briefings in Bioinformatics 24 (3), bbad107, 2023 | 4 | 2023 |
| Tumor Suppressive Role of the PRELP Gene in Ovarian Clear Cell Carcinoma A Dozen, K Shozu, N Shinkai, N Ikawa, R Aoyama, H Machino, K Asada, ... Journal of Personalized Medicine 12 (12), 1999, 2022 | 4 | 2022 |
| Repression of the PRELP gene is relieved by histone deacetylase inhibitors through acetylation of histone H2B lysine 5 in bladder cancer K Shozu, S Kaneko, N Shinkai, A Dozen, H Kosuge, M Nakakido, ... Clinical Epigenetics 14 (1), 147, 2022 | 4 | 2022 |
| Involvement of Rev1 in alkylating agent‐induced loss of heterozygosity in Oryzias latipes Y Fujikawa, T Ishikawa‐Fujiwara, T Kuo, N Shinkai, T Shoji, T Kawasaki, ... Genes to Cells 25 (2), 124-138, 2020 | 3 | 2020 |
| Advances in cancer DNA methylation analysis with methPLIER: use of non-negative matrix factorization and knowledge-based constraints to enhance biological interpretability K Takasawa, K Asada, S Kaneko, K Shiraishi, H Machino, S Takahashi, ... Experimental & Molecular Medicine 56 (3), 646-655, 2024 | 1 | 2024 |
| Mechanism of ERBB2 gene overexpression by the formation of super-enhancer with genomic structural abnormalities in lung adenocarcinoma without clinically actionable genetic … S Kaneko, K Takasawa, K Asada, K Shiraishi, N Ikawa, H Machino, ... Molecular Cancer 23 (1), 1-17, 2024 | | 2024 |
| Predicting Multi-Omics Parallel Integration Survival Subtypes in Lung Cancer Using Machine Learning Techniques S Takahashi, K Asada, K Takasawa, R Shimoyama, A Sakai, A Bolatkan, ... CANCER SCIENCE 113, 874-874, 2022 | | 2022 |
| Leveraging the ChIP-seq dataset to develop a clinically useful machine learning platform N Shinkai, S Kaneko, K Asada, K Takasawa, R Hamamoto CANCER SCIENCE 113, 2022 | | 2022 |
| Deciphering signatures in pan-negative lung cancer using multi-omics data K Asada, N Shinkai, S Kaneko, H Horinouchi, Y Yoshida, M Mukai, ... CANCER SCIENCE 113, 893-893, 2022 | | 2022 |
| Single-Cell Analysis Using Machine Learning Techniques and Its Application to Medical Research. Biomedicines 2021, 9, 1513 K Asada, K Takasawa, H Machino, S Takahashi, N Shinkai, A Bolatkan, ... s Note: MDPI stays neu-tral with regard to jurisdictional claims in …, 2021 | | 2021 |
