Epigenetics Analysis and Integrated Analysis of Multiomics Data, Including Epigenetic Data, Using Artificial Intelligence in the Era of Precision Medicine by Ryuji Hamamoto, Masaaki Komatsu, Ken Takasawa, Ken Asada, Syuzo Kaneko

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Critical Roles of <i>N</i>⁶-Methyladenosine (m⁶A) in Cancer and Virus Infection by Ken Asada, Amina Bolatkan, Ken Takasawa, Masaaki Komatsu, Syuzo Kaneko, Ryuji Hamamoto

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Variation of DNA methylation on the IRX1/2 genes is responsible for the neural differentiation propensity in human induced pluripotent stem cells by Asato Sekiya, Ken Takasawa, Yoshikazu Arai, Shin-ichi Horike, Hidenori Akutsu, Akihiro Umezawa, Koichiro Nishino

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Integrated Analysis of Whole Genome and Epigenome Data Using Machine Learning Technology: Toward the Establishment of Precision Oncology by Ken Asada, Ken Asada, Syuzo Kaneko, Syuzo Kaneko, Ken Takasawa, Ken Takasawa, Hidenori Machino, Hidenori Machino, Satoshi Takahashi, Satoshi Takahashi, Norio Shinkai, Norio Shinkai, Norio Shinkai, Ryo Shimoyama, Ryo Shimoyama, Masaaki Komatsu, Masaaki Komatsu, Ryuji Hamamoto, Ryuji Hamamoto, Ryuji Hamamoto

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Uncovering Prognosis-Related Genes and Pathways by Multi-Omics Analysis in Lung Cancer by Ken Asada, Kazuma Kobayashi, Samuel Joutard, Masashi Tubaki, Satoshi Takahashi, Ken Takasawa, Masaaki Komatsu, Syuzo Kaneko, Jun Sese, Ryuji Hamamoto

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Epigenetic Mechanisms Underlying COVID-19 Pathogenesis by Syuzo Kaneko, Ken Takasawa, Ken Asada, Norio Shinkai, Amina Bolatkan, Masayoshi Yamada, Satoshi Takahashi, Hidenori Machino, Kazuma Kobayashi, Masaaki Komatsu, Ryuji Hamamoto

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Single-Cell Analysis Using Machine Learning Techniques and Its Application to Medical Research by Ken Asada, Ken Takasawa, Hidenori Machino, Satoshi Takahashi, Norio Shinkai, Amina Bolatkan, Kazuma Kobayashi, Masaaki Komatsu, Syuzo Kaneko, Koji Okamoto, Ryuji Hamamoto

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Epigenetic-scale comparison of human iPSCs generated by retrovirus, Sendai virus or episomal vectors by Koichiro Nishino, Yoshikazu Arai, Ken Takasawa, Masashi Toyoda, Mayu Yamazaki-Inoue, Tohru Sugawara, Hidenori Akutsu, Ken Nishimura, Manami Ohtaka, Mahito Nakanishi, Akihiro Umezawa

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Predicting Deep Learning Based Multi-Omics Parallel Integration Survival Subtypes in Lung Cancer Using Reverse Phase Protein Array Data by Satoshi Takahashi, Ken Asada, Ken Takasawa, Ryo Shimoyama, Akira Sakai, Amina Bolatkan, Norio Shinkai, Kazuma Kobayashi, Masaaki Komatsu, Syuzo Kaneko, Jun Sese, Ryuji Hamamoto

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Establishment of a machine learning model for predicting splenic hilar lymph node metastasis by Kenichi Ishizu, Satoshi Takahashi, Nobuji Kouno, Ken Takasawa, Katsuji Takeda, Kota Matsui, Masashi Nishino, Tsutomu Hayashi, Yukinori Yamagata, Shigeyuki Matsui, Takaki Yoshikawa, Ryuji Hamamoto

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A discrimination model by machine learning to avoid gastrectomy for early gastric cancer by Tsutomu Hayashi, Ken Takasawa, Takaki Yoshikawa, Taiki Hashimoto, Shigeki Sekine, Takeyuki Wada, Yukinori Yamagata, Haruhisa Suzuki, Seiichirou Abe, Shigetaka Yoshinaga, Yutaka Saito, Nobuji Kouno, Ryuji Hamamoto

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Analysis of Inertial Measurement Unit Data for an AI-Based Physical Function Assessment System Using In-Clinic-like Movements by Nobuji Kouno, Satoshi Takahashi, Ken Takasawa, Masaaki Komatsu, Naoaki Ishiguro, Katsuji Takeda, Ayumu Matsuoka, Maiko Fujimori, Kazuki Yokoyama, Shun Yamamoto, Yoshitaka Honma, Ken Kato, Kazutaka Obama, Ryuji Hamamoto

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A series of natural language processing for predicting tumor response evaluation and survival curve from electronic health records by Toshiki Takeuchi, Hidehito Horinouchi, Ken Takasawa, Masami Mukai, Ken Masuda, Yuki Shinno, Yusuke Okuma, Tatsuya Yoshida, Yasushi Goto, Noboru Yamamoto, Yuichiro Ohe, Mototaka Miyake, Hirokazu Watanabe, Masahiko Kusumoto, Takashi Aoki, Kunihiro Nishimura, Ryuji Hamamoto

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Introducing AI to the molecular tumor board: one direction toward the establishment of precision medicine using large-scale cancer clinical and biological information by Ryuji Hamamoto, Takafumi Koyama, Nobuji Kouno, Tomohiro Yasuda, Shuntaro Yui, Kazuki Sudo, Makoto Hirata, Kuniko Sunami, Takashi Kubo, Ken Takasawa, Satoshi Takahashi, Hidenori Machino, Kazuma Kobayashi, Ken Asada, Masaaki Komatsu, Syuzo Kaneko, Yasushi Yatabe, Noboru Yamamoto

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Advances in cancer DNA methylation analysis with methPLIER: use of non-negative matrix factorization and knowledge-based constraints to enhance biological interpretability by Ken Takasawa, Ken Asada, Syuzo Kaneko, Kouya Shiraishi, Hidenori Machino, Satoshi Takahashi, Norio Shinkai, Nobuji Kouno, Kazuma Kobayashi, Masaaki Komatsu, Takaaki Mizuno, Yu Okubo, Masami Mukai, Tatsuya Yoshida, Yukihiro Yoshida, Hidehito Horinouchi, Shun-Ichi Watanabe, Yuichiro Ohe, Yasushi Yatabe, Takashi Kohno, Ryuji Hamamoto

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Multi-omics and clustering analyses reveal the mechanisms underlying unmet needs for patients with lung adenocarcinoma and identify potential therapeutic targets by Ken Asada, Syuzo Kaneko, Ken Takasawa, Kouya Shiraishi, Norio Shinkai, Yoko Shimada, Satoshi Takahashi, Hidenori Machino, Kazuma Kobayashi, Amina Bolatkan, Masaaki Komatsu, Masayoshi Yamada, Mototaka Miyake, Hirokazu Watanabe, Akiko Tateishi, Takaaki Mizuno, Yu Okubo, Masami Mukai, Tatsuya Yoshida, Yukihiro Yoshida, Hidehito Horinouchi, Shun-Ichi Watanabe, Yuichiro Ohe, Yasushi Yatabe, Takashi Kohno, Ryuji Hamamoto

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Mechanism of ERBB2 gene overexpression by the formation of super-enhancer with genomic structural abnormalities in lung adenocarcinoma without clinically actionable genetic alterat... by Syuzo Kaneko, Ken Takasawa, Ken Asada, Kouya Shiraishi, Noriko Ikawa, Hidenori Machino, Norio Shinkai, Maiko Matsuda, Mari Masuda, Shungo Adachi, Satoshi Takahashi, Kazuma Kobayashi, Nobuji Kouno, Amina Bolatkan, Masaaki Komatsu, Masayoshi Yamada, Mototaka Miyake, Hirokazu Watanabe, Akiko Tateishi, Takaaki Mizuno, Yu Okubo, Masami Mukai, Tatsuya Yoshida, Yukihiro Yoshida, Hidehito Horinouchi, Shun-Ichi Watanabe, Yuichiro Ohe, Yasushi Yatabe, Vassiliki Saloura, Takashi Kohno, Ryuji Hamamoto

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Identification of telomere maintenance gene variations related to lung adenocarcinoma risk by genome‐wide association and whole genome sequencing analyses by Kouya Shiraishi, Atsushi Takahashi, Yukihide Momozawa, Yataro Daigo, Syuzo Kaneko, Takahisa Kawaguchi, Hideo Kunitoh, Shingo Matsumoto, Hidehito Horinouchi, Akiteru Goto, Takayuki Honda, Kimihiro Shimizu, Masahiro Torasawa, Daisuke Takayanagi, Motonobu Saito, Akira Saito, Yuichiro Ohe, Shun‐ichi Watanabe, Koichi Goto, Masahiro Tsuboi, Katsuya Tsuchihara, Sadaaki Takata, Tomomi Aoi, Atsushi Takano, Masashi Kobayashi, Yohei Miyagi, Kazumi Tanaka, Hiroyuki Suzuki, Daichi Maeda, Takumi Yamaura, Maiko Matsuda, Yoko Shimada, Takaaki Mizuno, Hiromi Sakamoto, Teruhiko Yoshida, Yasushi Goto, Tatsuya Yoshida, Taiki Yamaji, Makoto Sonobe, Shinichi Toyooka, Kazue Yoneda, Katsuhiro Masago, Fumihiro Tanaka, Megumi Hara, Nobuo Fuse, Satoshi S. Nishizuka, Noriko Motoi, Norie Sawada, Yuichiro Nishida, Kazuki Kumada, Kenji Takeuchi, Kozo Tanno, Yasushi Yatabe, Kuniko Sunami, Tomoyuki Hishida, Yasunari Miyazaki, Hidemi Ito, Mitsuhiro Amemiya, Hirohiko Totsuka, Haruhiko Nakayama, Tomoyuki Yokose, Kazuyoshi Ishigaki, Toshiteru Nagashima, Yoichi Ohtaki, Kazuhiro Imai, Ken Takasawa, Yoshihiro Minamiya, Kazuma Kobayashi, Kenichi Okubo, Kenji Wakai, Atsushi Shimizu, Masayuki Yamamoto, Motoki Iwasaki, Koichi Matsuda, Johji Inazawa, Yuichi Shiraishi, Hiroyoshi Nishikawa, Yoshinori Murakami, Michiaki Kubo, Fumihiko Matsuda, Yoichiro Kamatani, Ryuji Hamamoto, Keitaro Matsuo, Takashi Kohno

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