Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Kenta Oono"'
Autor:
Masanobu Hibi, Shun Katada, Aya Kawakami, Kotatsu Bito, Mayumi Ohtsuka, Kei Sugitani, Adeline Muliandi, Nami Yamanaka, Takahiro Hasumura, Yasutoshi Ando, Takashi Fushimi, Teruhisa Fujimatsu, Tomoki Akatsu, Sawako Kawano, Ren Kimura, Shigeki Tsuchiya, Yuuki Yamamoto, Mai Haneoka, Ken Kushida, Tomoki Hideshima, Eri Shimizu, Jumpei Suzuki, Aya Kirino, Hisashi Tsujimura, Shun Nakamura, Takashi Sakamoto, Yuki Tazoe, Masayuki Yabuki, Shinobu Nagase, Tamaki Hirano, Reiko Fukuda, Yukari Yamashiro, Yoshinao Nagashima, Nobutoshi Ojima, Motoki Sudo, Naoki Oya, Yoshihiko Minegishi, Koichi Misawa, Nontawat Charoenphakdee, Zhengyan Gao, Kohei Hayashi, Kenta Oono, Yohei Sugawara, Shoichiro Yamaguchi, Takahiro Ono, Hiroshi Maruyama
Publikováno v:
JMIR Research Protocols, Vol 12, p e47024 (2023)
BackgroundHuman health status can be measured on the basis of many different parameters. Statistical relationships among these different health parameters will enable several possible health care applications and an approximation of the current healt
Externí odkaz:
https://doaj.org/article/4929bccea12745e8a695b1c922fe8b4b
Autor:
Masanobu Hibi, Shun Katada, Aya Kawakami, Kotatsu Bito, Mayumi Otsuka, Kei Sugitani, Adeline Muliandi, Nami Yamanaka, Takahiro Hasumura, Yasutoshi Ando, Takashi Fushimi, Teruhisa Fujimatsu, Tomoki Akatsu, Sawako Kawano, Ren Kimura, Shigeki Tsuchiya, Yuki Yamamoto, Mai Haneoka, Ken Kushida, Tomoki Hideshima, Eri Shimizu, Jumpei Suzuki, Aya Kirino, Hisashi Tsujimura, Shun Nakamura, Takashi Sakamoto, Yuki Tazoe, Masayuki Yabuki, Shinobu Nagase, Reiko Fukuda, Yukari Yamashiro, Nobutoshi Ojima, Motoki Sudo, Naoki Oya, Yoshihiko Minegishi, Kouichi Misawa, Nontawat Charoenphakdee, Zhengyan Gao, Kohei Hayashi, Kenta Oono, Yohei Sugawara, Shoichiro Yamaguchi, Takahiro Ono, Hiroshi Maruyama
BACKGROUND Human health status can be measured in several different ways and statistical relationships among various measurements can be represented as a joint probability distribution. Approximation of the current health status of individuals will a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4b8abb3120afa27de2a33374bc31da7
https://doi.org/10.2196/preprints.47024
https://doi.org/10.2196/preprints.47024
Autor:
Juntaro, Matsuzaki, Ken, Kato, Kenta, Oono, Naoto, Tsuchiya, Kazuki, Sudo, Akihiko, Shimomura, Kenji, Tamura, Sho, Shiino, Takayuki, Kinoshita, Hiroyuki, Daiko, Takeyuki, Wada, Hitoshi, Katai, Hiroki, Ochiai, Yukihide, Kanemitsu, Hiroyuki, Takamaru, Seiichiro, Abe, Yutaka, Saito, Narikazu, Boku, Shunsuke, Kondo, Hideki, Ueno, Takuji, Okusaka, Kazuaki, Shimada, Yuichiro, Ohe, Keisuke, Asakura, Yukihiro, Yoshida, Shun-Ichi, Watanabe, Naofumi, Asano, Akira, Kawai, Makoto, Ohno, Yoshitaka, Narita, Mitsuya, Ishikawa, Tomoyasu, Kato, Hiroyuki, Fujimoto, Shumpei, Niida, Hiromi, Sakamoto, Satoko, Takizawa, Takuya, Akiba, Daisuke, Okanohara, Kouya, Shiraishi, Takashi, Kohno, Fumitaka, Takeshita, Hitoshi, Nakagama, Nobuyuki, Ota, Takahiro, Ochiya, Hideaki, Takashima
Publikováno v:
JNCI Cancer Spectrum. 7
Background Noninvasive detection of early stage cancers with accurate prediction of tumor tissue-of-origin could improve patient prognosis. Because miRNA profiles differ between organs, circulating miRNomics represent a promising method for early det
Autor:
Kenta Oono, Yuichi Yoshida
Publikováno v:
Random Structures & Algorithms. 49:579-598
We study testing properties of functions on finite groups. First we consider functions of the form $f:G \to \mathbb{C}$, where $G$ is a finite group. We show that conjugate invariance, homomorphism, and the property of being proportional to an irredu
Automatic design with machine learning and molecular simulations has shown a remarkable ability to generate new and promising drug candidates. Current models, however, still have problems in simulation concurrency and molecular diversity. Most method
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e2b4b8e6fbda980dcb91910438c2c6a4
http://arxiv.org/abs/1804.02134
http://arxiv.org/abs/1804.02134
Autor:
Isao Ishikawa1,2 ISHIKAWA.ISAO.ZX@EHIME-U.AC.JP, Takeshi Teshima2,3 TAKESHI.TESHIMA@A.RIKEN.JP, Koichi Tojo2 KOICHI.TOJO@RIKEN.JP, Kenta Oono2 KENTA.OONO@A.RIKEN.JP, Masahiro Ikeda2 MASAHIRO.IKEDA@RIKEN.JP, Masashi Sugiyama2,3 SUGI@K.U-TOKYO.AC.JP
Publikováno v:
Journal of Machine Learning Research. 2023, Vol. 24, p1-68. 68p.