Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Yukako Tohsato"'
Autor:
Tatsumi Hirata, Yukako Tohsato, Hiroya Itoga, Go Shioi, Hiroshi Kiyonari, Sanae Oka, Toshihiko Fujimori, Shuichi Onami
Publikováno v:
Cell Reports: Methods, Vol 1, Iss 3, Pp 100012- (2021)
Summary: Neuronal birthdate is one of the major determinants of neuronal phenotypes. However, most birthdating methods are retrospective in nature, allowing very little experimental access to the classified neuronal subsets. Here, we introduce four n
Externí odkaz:
https://doaj.org/article/dfdd31475ad84da5a2747276cb20ebe8
Publikováno v:
PLoS ONE, Vol 15, Iss 8, p e0237468 (2020)
BD5 is a new binary data format based on HDF5 (hierarchical data format version 5). It can be used for representing quantitative biological dynamics data obtained from bioimage informatics techniques and mechanobiological simulations. Biological Dyna
Externí odkaz:
https://doaj.org/article/cd3e0e26f28a4c3a999d2ed7a7bf7213
Publikováno v:
Journal of the Visualization Society of Japan. 40:25-28
Autor:
Eisuke Ito, Takaya Ueda, Ryo Takano, Yukako Tohsato, Koji Kyoda, Shuichi Onami, Ikuko Nishikawa
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031159305
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a25a530a0581d86897c493566ea90ebe
https://doi.org/10.1007/978-3-031-15931-2_36
https://doi.org/10.1007/978-3-031-15931-2_36
Autor:
Hiroaki Nozaki, Yukako Tohsato
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031159336
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::322ad146d49d4b0f5f3d4b740de9de76
https://doi.org/10.1007/978-3-031-15934-3_39
https://doi.org/10.1007/978-3-031-15934-3_39
Autor:
TAKASHI OHYAMA, YUKAKO TOHSATO
Publikováno v:
IPSJ Transactions on Bioinformatics; 2023, Vol. 16, p13-19, 7p
Background: Genome-scale constraint-based metabolic networks play an important role in the simulation of growth coupling, which means that cell growth and target metabolite production are simultaneously achieved. To achieve growth coupling, a minimal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::55f3e9bb21db84b1dfc6f52a24315489
https://doi.org/10.21203/rs.3.rs-611371/v1
https://doi.org/10.21203/rs.3.rs-611371/v1
Publikováno v:
2021 IEEE 9th International Conference on Bioinformatics and Computational Biology (ICBCB).
Variational auto encoder (VAE) is used to detect and quantify the phenotype anomaly in the nuclear division of the early embryo of C. elegans. The latent space of VAE, on which the normal data distribution is obtained through the training, is used to
Publikováno v:
2021 IEEE 9th International Conference on Bioinformatics and Computational Biology (ICBCB).
To elucidate the dependence of gene function on the environmental conditions, we focused on quantitative data from a phenotype microarray (PM) of the wild type and ca. 300 single-gene knockout mutants of Escherichia coli K-12 cultured under various m
Autor:
Sanae Oka, Hiroya Itoga, Go Shioi, Tatsumi Hirata, Hiroshi Kiyonari, Yukako Tohsato, Shuichi Onami, Toshihiko Fujimori
Publikováno v:
Cell Reports: Methods, Vol 1, Iss 3, Pp 100012-(2021)
Summary: Neuronal birthdate is one of the major determinants of neuronal phenotypes. However, most birthdating methods are retrospective in nature, allowing very little experimental access to the classified neuronal subsets. Here, we introduce four n