| 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 |
| 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, 2020 | 98 | 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 |
| 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 | 44 | 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 (1), 78-86, 2018 | 40 | 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, 1725, 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 |
| 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 | 19 | 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 | 17 | 2020 |
| 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 |
| 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 |
| 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 (1), 99-110, 2021 | 11 | 2021 |
| Dog steroidogenic factor-1: molecular cloning and analysis of epigenetic regulation A SEKIYA, K TAKASAWA, Y ARAI, S TORISU, K NISHINO Journal of Veterinary Medical Science, 20-0050, 2020 | 2 | 2020 |
| Development of non-negative matrix factorization with knowledge-based constraints for DNA methylation array analysis. K Takasawa, R Hamamoto CANCER SCIENCE 112, 674-674, 2021 | | 2021 |
| Uncovering Prognosis-related Genes and Pathways by Multi-omics Analysis in Lung Adenocarcinoma K Asada, K Kobayashi, S Takahashi, K Takasawa, M Komatsu, S Kaneko, ... CANCER SCIENCE 112, 444-444, 2021 | | 2021 |
| 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 |
| Application of Artificial Intelligence Technology in Oncology: Towards the Establishment of Precision Medicine N Shinkai, M Miyake, M Takahashi, S Jinnai, R Shimoyama, A Sakai, ... | | |
