Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Noriko F. Hiroi"'
Autor:
Anna Niarakis, Marek Ostaszewski, Alexander Mazein, Inna Kuperstein, Martina Kutmon, Marc E. Gillespie, Akira Funahashi, Marcio Luis Acencio, Ahmed Hemedan, Michael Aichem, Karsten Klein, Tobias Czauderna, Felicia Burtscher, Takahiro G. Yamada, Yusuke Hiki, Noriko F. Hiroi, Finterly Hu, Nhung Pham, Friederike Ehrhart, Egon L. Willighagen, Alberto Valdeolivas, Aurelien Dugourd, Francesco Messina, Marina Esteban-Medina, Maria Peña-Chilet, Kinza Rian, Sylvain Soliman, Sara Sadat Aghamiri, Bhanwar Lal Puniya, Aurélien Naldi, Tomáš Helikar, Vidisha Singh, Marco Fariñas Fernández, Viviam Bermudez, Eirini Tsirvouli, Arnau Montagud, Vincent Noël, Miguel Ponce-de-Leon, Dieter Maier, Angela Bauch, Benjamin M. Gyori, John A. Bachman, Augustin Luna, Janet Piñero, Laura I. Furlong, Irina Balaur, Adrien Rougny, Yohan Jarosz, Rupert W. Overall, Robert Phair, Livia Perfetto, Lisa Matthews, Devasahayam Arokia Balaya Rex, Marija Orlic-Milacic, Luis Cristobal Monraz Gomez, Bertrand De Meulder, Jean Marie Ravel, Bijay Jassal, Venkata Satagopam, Guanming Wu, Martin Golebiewski, Piotr Gawron, Laurence Calzone, Jacques S. Beckmann, Chris T. Evelo, Peter D’Eustachio, Falk Schreiber, Julio Saez-Rodriguez, Joaquin Dopazo, Martin Kuiper, Alfonso Valencia, Olaf Wolkenhauer, Hiroaki Kitano, Emmanuel Barillot, Charles Auffray, Rudi Balling, Reinhard Schneider, the COVID-19 Disease Map Community
Publikováno v:
Frontiers in Immunology, Vol 14 (2024)
IntroductionThe COVID-19 Disease Map project is a large-scale community effort uniting 277 scientists from 130 Institutions around the globe. We use high-quality, mechanistic content describing SARS-CoV-2-host interactions and develop interoperable b
Externí odkaz:
https://doaj.org/article/ac53015acf3143cf9c3f232ae67ad161
Autor:
Shohei Tada, Yoshitaka Yamazaki, Kazunori Yamamoto, Ken Fujii, Takahiro G. Yamada, Noriko F. Hiroi, Akatsuki Kimura, Akira Funahashi
Publikováno v:
Heliyon, Vol 10, Iss 3, Pp e25494- (2024)
The centrosome is a major microtubule organizing center in animal cells. The position of the centrosomes inside the cell is important for cell functions such as cell cycle, and thus should be tightly regulated. Theoretical models based on the forces
Externí odkaz:
https://doaj.org/article/7641ea5acf104452aa2a7ceb1d923f92
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022)
Abstract In fluctuating environments, many microorganisms acquire phenotypic heterogeneity as a survival tactic to increase the likelihood of survival of the overall population. One example of this interindividual heterogeneity is the diversity of AT
Externí odkaz:
https://doaj.org/article/f9c7bd03e75f487ea646d388b9642270
Autor:
Takahiro G Yamada, Yusuke Hiki, Noriko F Hiroi, Elena Shagimardanova, Oleg Gusev, Richard Cornette, Takahiro Kikawada, Akira Funahashi
Publikováno v:
PLoS ONE, Vol 15, Iss 3, p e0230218 (2020)
Water is essential for living organisms. Terrestrial organisms are incessantly exposed to the stress of losing water, desiccation stress. Avoiding the mortality caused by desiccation stress, many organisms acquired molecular mechanisms to tolerate de
Externí odkaz:
https://doaj.org/article/f3ab81e5aaba49d09b3521eced4fe53d
Publikováno v:
PLoS ONE, Vol 14, Iss 9, p e0221245 (2019)
Image-based deep learning systems, such as convolutional neural networks (CNNs), have recently been applied to cell classification, producing impressive results; however, application of CNNs has been confined to classification of the current cell sta
Externí odkaz:
https://doaj.org/article/e79f549b14da4adeb5a243944cc161c6
Autor:
Tsuyoshi Iwasaki, Ryo Takiguchi, Takumi Hiraiwa, Takahiro G Yamada, Kazuto Yamazaki, Noriko F. Hiroi, Akira Funahashi
Background: Computational simulation using mathematical models is a useful method for understanding the complex behavior of a living system. The majority of studies using mathematical models to reveal biological mechanisms use one of the two main app
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c077ab262967080e7b49dc73e87a2d17