論文・総説 - 長谷川　嵩矩

21. Imoto S, Hasegawa T, Yamaguchi R. Data science and precision health care. Nutrition reviews. 2020.12; 78 (12 Suppl 2): 53-57. ( PubMed, DOI )

22. Sato N, Kakuta M, Hasegawa T, Yamaguchi R, Uchino E, Murashita K, Nakaji S, Imoto S, Yanagita M, Okuno Y. Metagenomic profiling of gut microbiome in early chronic kidney disease. Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association. 2020.09; 36 (9): 1675-1684. ( PubMed, DOI )

23. Hasegawa T, Hayashi S, Shimizu E, Mizuno S, Niida A, Yamaguchi R, Miyano S, Nakagawa H, Imoto S. Neoantimon: a multifunctional R package for identification of tumor-specific neoantigens. Bioinformatics (Oxford, England). 2020.09; 36 (18): 4813-4816. ( PubMed, DOI )

24. Misawa K, Hasegawa T, Mishima E, Jutabha P, Ouchi M, Kojima K, Kawai Y, Matsuo M, Anzai N, Nagasaki M. Contribution of Rare Variants of the SLC22A12 Gene to the Missing Heritability of Serum Urate Levels. Genetics. 2020.04; 214 (4): 1079-1090. ( PubMed, DOI )

25. Fujita Masashi, Yamaguchi Rui, Hasegawa Takanori, Shimada Shu, Arihiro Koji, Hayashi Shuto, Maejima Kazuhiro, Nakano Kaoru, Fujimoto Akihiro, Ono Atsushi, Aikata Hiroshi, Ueno Masaki, Hayami Shinya, Tanaka Hiroko, Miyano Satoru, Yamaue Hiroki, Chayama Kazuaki, Kakimi Kazuhiro, Tanaka Shinji, Imoto Seiya, Nakagawa Hidewaki. Classification of primary liver cancer with immunosuppression mechanisms and correlation with genomic alterations EBIOMEDICINE. 2020.03; 53 102659. ( PubMed, DOI )

26. Sato N, Kakuta M, Hasegawa T, Yamaguchi R, Uchino E, Kobayashi W, Sawada K, Tamura Y, Tokuda I, Murashita K, Nakaji S, Imoto S, Yanagita M, Okuno Y. Metagenomic analysis of bacterial species in tongue microbiome of current and never smokers. NPJ biofilms and microbiomes. 2020.03; 6 (1): 11. ( PubMed, DOI )

27. Akihiro Fujimoto, Masashi Fujita, Takanori Hasegawa, Jing Hao Wong, Kazuhiro Maejima, Aya Oku-Sasaki, Kaoru Nakano, Yuichi Shiraishi, Satoru Miyano, Go Yamamoto, Kiwamu Akagi, Seiya Imoto, Hidewaki Nakagawa. Comprehensive analysis of indels in whole-genome microsatellite regions and microsatellite instability across 21 cancer types. Genome Res. 2020.03; 30 (3): 334-346. ( PubMed, DOI )

28. Pan-cancer analysis of whole genomes. Nature. 2020.02; 578 (7793): 82-93. ( PubMed, DOI )

29. Noriaki Sato, Masanori Kakuta, Eiichiro Uchino, Takanori Hasegawa, Ryosuke Kojima, Wataru Kobayashi, Kaori Sawada, Yoshihiro Tamura, Itoyo Tokuda, Seiya Imoto, Shigeyuki Nakaji, Koichi Murashita, Motoko Yanagita, Yasushi Okuno. The relationship between cigarette smoking and the tongue microbiome in an East Asian population. J Oral Microbiol. 2020; 12 (1): 1742527. ( PubMed, DOI )

30. Takanori Hasegawa, Rui Yamaguchi, Masanori Kakuta, Kaori Sawada, Kenichi Kawatani, Koichi Murashita, Shigeyuki Nakaji, Seiya Imoto. Prediction of blood test values under different lifestyle scenarios using time-series electronic health record. PLoS One. 2020; 15 (3): e0230172. ( PubMed, DOI )

31. Sunao Shimizu, Junsei Mimura, Takanori Hasegawa, Eigo Shimizu, Seiya Imoto, Michiko Tsushima, Shuya Kasai, Hiromi Yamazaki, Yusuke Ushida, Hiroyuki Suganuma, Hirofumi Tomita, Masayuki Yamamoto, Shigeyuki Nakaji, Ken Itoh. Association of single nucleotide polymorphisms in the NRF2 promoter with vascular stiffness with aging. PLoS One. 2020; 15 (8): e0236834. ( PubMed, DOI )

32. Atsushi Niida, Takanori Hasegawa, Hideki Innan, Tatsuhiro Shibata, Koshi Mimori, Satoru Miyano. A unified simulation model for understanding the diversity of cancer evolution. PeerJ. 2020; 8 (4): e8842. ( PubMed, DOI )

33. Tomoko Saito, Atsushi Niida, Ryutaro Uchi, Hidenari Hirata, Hisateru Komatsu, Shotaro Sakimura, Shuto Hayashi, Sho Nambara, Yosuke Kuroda, Shuhei Ito, Hidetoshi Eguchi, Takaaki Masuda, Keishi Sugimachi, Taro Tobo, Haruto Nishida, Tsutomu Daa, Kenichi Chiba, Yuichi Shiraishi, Tetsuichi Yoshizato, Masaaki Kodama, Tadayoshi Okimoto, Kazuhiro Mizukami, Ryo Ogawa, Kazuhisa Okamoto, Mitsutaka Shuto, Kensuke Fukuda, Yusuke Matsui, Teppei Shimamura, Takanori Hasegawa, Yuichiro Doki, Satoshi Nagayama, Kazutaka Yamada, Mamoru Kato, Tatsuhiro Shibata, Masaki Mori, Hiroyuki Aburatani, Kazunari Murakami, Yutaka Suzuki, Seishi Ogawa, Satoru Miyano, Koshi Mimori. A temporal shift of the evolutionary principle shaping intratumor heterogeneity in colorectal cancer. Nat Commun. 2020; 9 (1): 2884. ( PubMed, DOI )

34. Hasegawa Takanori, Yamaguchi Rui, Niida Atsushi, Miyano Satoru, Imoto Seiya. Ensemble smoothers for inference of hidden states and parameters in combinatorial regulatory model. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS. 2020; 357 (5): 2916-2933. ( DOI )

35. Atsushi Niida, Takanori Hasegawa, Satoru Miyano. Sensitivity analysis of agent-based simulation utilizing massively parallel computation and interactive data visualization. PLoS One. 2019; 14 (3): e0210678. ( PubMed, DOI )

36. Masashi Fujita, Seiya Imoto, Rui Yamaguchi, Takanori Hasegawa, Shuto Hayashi, Kazuhiro Kakimi, Satoru Miyano, Hiroki Yamaue, Kazuaki Chayama, Hidewaki Nakagawa. Genomic insights into immune suppression in liver cancer CANCER SCIENCE. 2018.12; 109 640.

37. Comprehensive Search for Prognostic Biomarkers using PCAWG Data 2018.12; 109 291.

38. Masashi Fujita, Seiya Imoto, Rui Yamaguchi, Takanori Hasegawa, Shuto Hayashi, Satoru Miyano, Hiroki Yamaue, Kazuaki Chayama, Hidewaki Nakagawa. Immuno-genomic subtype of liver cancer correlates with mechanisms of immune suppression and prognosis HUMAN GENOMICS. 2018.03; 12

39. Takanori Hasegawa, Kaname Kojima, Yosuke Kawai, Masao Nagasaki. Time-Series Filtering for Replicated Observations via a Kernel Approximate Bayesian Computation IEEE Trans. Signal Process. 2018; 66 (23): 6148-6161.

40. Tomohiro Morita, Abidur Rahman, Takanori Hasegawa, Akihiko Ozaki, Tetsuya Tanimoto. The Potential Possibility of Symptom Checker. Int J Health Policy Manag. 2017.10; 6 (10): 615-616. ( PubMed, DOI )