Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Tetsuya J. Kobayashi"'
Publikováno v:
npj Systems Biology and Applications, Vol 10, Iss 1, Pp 1-12 (2024)
Abstract Predicting olfactory perceptions from odorant molecules is challenging due to the complex and potentially discontinuous nature of the perceptual space for smells. In this study, we introduce a deep learning model, Mol-PECO (Molecular Represe
Externí odkaz:
https://doaj.org/article/365c1fd356ef4c9a9b573454b97387e1
Autor:
Yuki Takakura, Moeka Machida, Natsumi Terada, Yuka Katsumi, Seika Kawamura, Kenta Horie, Maki Miyauchi, Tatsuya Ishikawa, Nobuko Akiyama, Takao Seki, Takahisa Miyao, Mio Hayama, Rin Endo, Hiroto Ishii, Yuya Maruyama, Naho Hagiwara, Tetsuya J. Kobayashi, Naoto Yamaguchi, Hiroyuki Takano, Taishin Akiyama, Noritaka Yamaguchi
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-19 (2024)
Abstract Autophagy is primarily activated by cellular stress, such as starvation or mitochondrial damage. However, stress-independent autophagy is activated by unclear mechanisms in several cell types, such as thymic epithelial cells (TECs). Here we
Externí odkaz:
https://doaj.org/article/3b23fba647ea4ea2a84f733c4cb7a6bd
Autor:
Kenta Horie, Kano Namiki, Kyouhei Kinoshita, Maki Miyauchi, Tatsuya Ishikawa, Mio Hayama, Yuya Maruyama, Naho Hagiwara, Takahisa Miyao, Shigeo Murata, Tetsuya J. Kobayashi, Nobuko Akiyama, Taishin Akiyama
Publikováno v:
Frontiers in Immunology, Vol 14 (2023)
The thymus has the ability to regenerate from acute injury caused by radiation, infection, and stressors. In addition to thymocytes, thymic epithelial cells in the medulla (mTECs), which are crucial for T cell self-tolerance by ectopically expressing
Externí odkaz:
https://doaj.org/article/314e1101ffcf4d2c89c2a6b04c520ad3
Autor:
So Nakashima, Tetsuya J. Kobayashi
Publikováno v:
Biophysics and Physicobiology, Vol 20 (2023)
Adaptability to changing environments is one of the universal characteristics of living organisms. Because individual modes of adaptation are diverse, a unified understanding of these diverse modes is essential to comprehend adaptation. Adaptations c
Externí odkaz:
https://doaj.org/article/b51b52f1060649848c82ac918a257d94
Publikováno v:
Physical Review Research, Vol 5, Iss 2, p L022052 (2023)
In multicellular systems, single-cell behaviors should be coordinated consistently with the overall population dynamics and functions. However, the interrelation between single-cell rules and the population-level goal is still elusive. In this work,
Externí odkaz:
https://doaj.org/article/2cb71961d5f84803ac99065f09327538
Autor:
Daisuke Mashiko, Zenki Ikeda, Mikiko Tokoro, Yu Hatano, Tatsuma Yao, Tetsuya J. Kobayashi, Noritaka Fukunaga, Yoshimasa Asada, Kazuo Yamagata
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-14 (2022)
Abstract To improve the performance of assisted reproductive technology, it is necessary to find an indicator that can identify and select embryos that will be born or be aborted. We searched for indicators of embryo selection by comparing born/abort
Externí odkaz:
https://doaj.org/article/20e8b91dc96c4515bea4408979d2786d
Autor:
Yotaro Katayama, Tetsuya J. Kobayashi
Publikováno v:
Frontiers in Immunology, Vol 13 (2022)
The repertoire of T cell receptors encodes various types of immunological information. Machine learning is indispensable for decoding such information from repertoire datasets measured by next-generation sequencing (NGS). In particular, the classific
Externí odkaz:
https://doaj.org/article/da8c5d3f91804b9ba3252cafdc72fd79
Publikováno v:
Frontiers in Immunology, Vol 13 (2022)
Sparked by the development of genome sequencing technology, the quantity and quality of data handled in immunological research have been changing dramatically. Various data and database platforms are now driving the rapid progress of machine learning
Externí odkaz:
https://doaj.org/article/2397c81a1f2244a6905d69ee8786e0df
Autor:
Takehiro Tottori, Tetsuya J. Kobayashi
Publikováno v:
Entropy, Vol 25, Iss 5, p 791 (2023)
Decentralized stochastic control (DSC) is a stochastic optimal control problem consisting of multiple controllers. DSC assumes that each controller is unable to accurately observe the target system and the other controllers. This setup results in two
Externí odkaz:
https://doaj.org/article/73f231590ebc4dc68da9bfc9308cc8f4
Autor:
Takehiro Tottori, Tetsuya J. Kobayashi
Publikováno v:
Entropy, Vol 25, Iss 2, p 208 (2023)
Memory-limited partially observable stochastic control (ML-POSC) is the stochastic optimal control problem under incomplete information and memory limitation. To obtain the optimal control function of ML-POSC, a system of the forward Fokker–Planck
Externí odkaz:
https://doaj.org/article/81acf35782fd43b189204ada1d69c560