| 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 | 199 | 2020 |
| Epigenetics analysis and integrated analysis of multiomics data, including epigenetic data, using artificial intelligence in the era of precision medicine R Hamamoto, M Komatsu, K Takasawa, K Asada, S Kaneko Biomolecules 10 (1), 62, 2019 | 125 | 2019 |
| 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 | 63 | 2020 |
| Uncovering Prognosis-Related Genes and Pathways by Multi-Omics Analysis in Lung Cancer K Asada, K Kobayashi, S Joutard, M Tubaki, S Takahashi, K Takasawa, ... Biomolecules 10 (4), 524, 2020 | 60 | 2020 |
| DNA hypermethylation enhanced telomerase reverse transcriptase expression in human-induced pluripotent stem cells K Takasawa, Y Arai, M Yamazaki-Inoue, M Toyoda, H Akutsu, ... Human cell 31, 78-86, 2018 | 45 | 2018 |
| 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 | 38 | 2021 |
| 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 | 35 | 2022 |
| Introducing AI to the molecular tumor board: one direction toward the establishment of precision medicine using large-scale cancer clinical and biological information R Hamamoto, T Koyama, N Kouno, T Yasuda, S Yui, K Sudo, M Hirata, ... Experimental hematology & oncology 11 (1), 82, 2022 | 34 | 2022 |
| 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 | 32 | 2021 |
| Up-regulation of POMC and CART mRNAs by intermittent hypoxia via GATA transcription factors in human neuronal cells R Shobatake, K Takasawa, H Ota, A Itaya-Hironaka, A Yamauchi, ... The International Journal of Biochemistry & Cell Biology 95, 100-107, 2018 | 26 | 2018 |
| 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 | 25 | 2021 |
| Intermittent Hypoxia Up-Regulates Gene Expressions of Peptide YY (PYY), Glucagon-like Peptide-1 (GLP-1), and Neurotensin (NTS) in Enteroendocrine Cells R Shobatake, A Itaya-Hironaka, A Yamauchi, M Makino, ... International Journal of Molecular Sciences 20 (8), 1849, 2019 | 23 | 2019 |
| Epigenetic-scale comparison of human iPSCs generated by retrovirus, Sendai virus or episomal vectors K Nishino, Y Arai, K Takasawa, M Toyoda, M Yamazaki-Inoue, ... Regenerative therapy 9, 71-78, 2018 | 20 | 2018 |
| Critical Roles of N6-Methyladenosine (m6A) in Cancer and Virus Infection K Asada, A Bolatkan, K Takasawa, M Komatsu, S Kaneko, R Hamamoto Biomolecules 10 (7), 1071, 2020 | 18 | 2020 |
| Comparison of Vision Transformers and Convolutional Neural Networks in Medical Image Analysis: A Systematic Review S Takahashi, Y Sakaguchi, N Kouno, K Takasawa, K Ishizu, Y Akagi, ... Journal of Medical Systems 48 (1), 1-22, 2024 | 16 | 2024 |
| Identification of an epigenetic signature in human induced pluripotent stem cells using a linear machine learning model K Nishino, K Takasawa, K Okamura, Y Arai, A Sekiya, H Akutsu, ... Human cell 34, 99-110, 2021 | 16 | 2021 |
| Tetraploid embryonic stem cells maintain pluripotency and differentiation potency into three germ layers H Imai, K Kano, W Fujii, K Takasawa, S Wakitani, M Hiyama, K Nishino, ... PloS one 10 (6), e0130585, 2015 | 15 | 2015 |
| Epigenetic Mechanisms Underlying COVID-19 Pathogenesis S Kaneko, K Takasawa, K Asada, N Shinkai, A Bolatkan, M Yamada, ... Biomedicines 9 (9), 1142, 2021 | 14 | 2021 |
| 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 | 7 | 2023 |
| 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 | 7 | 2022 |
