文献
J-GLOBAL ID:202202215181367470
整理番号:22A0775730
機構モデルの仮想集団構築のための生成敵対ネットワーク:Omechamtiv Mecarbil作用を研究するためのシミュレーション【JST・京大機械翻訳】
Generative adversarial networks for construction of virtual populations of mechanistic models: simulations to study Omecamtiv Mecarbil action
著者 (12件):
Parikh Jaimit
(IBM Research, Yorktown, NY, USA)
,
Rumbell Timothy
(IBM Research, Yorktown, NY, USA)
,
Butova Xenia
(Institute of Immunology and Physiology, Ural Branch of the Russian Academy of Sciences (UB RAS), Yekaterinburg, Russia)
,
Myachina Tatiana
(Institute of Immunology and Physiology, Ural Branch of the Russian Academy of Sciences (UB RAS), Yekaterinburg, Russia)
,
Acero Jorge Corral
(Department of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Oxford, UK)
,
Khamzin Svyatoslav
(Institute of Immunology and Physiology, Ural Branch of the Russian Academy of Sciences (UB RAS), Yekaterinburg, Russia)
,
Solovyova Olga
(Ural Federal University, Yekaterinburg, Russia)
,
Solovyova Olga
(Institute of Immunology and Physiology, Ural Branch of the Russian Academy of Sciences (UB RAS), Yekaterinburg, Russia)
,
Kozloski James
(IBM Research, Yorktown, NY, USA)
,
Khokhlova Anastasia
(Ural Federal University, Yekaterinburg, Russia)
,
Khokhlova Anastasia
(Institute of Immunology and Physiology, Ural Branch of the Russian Academy of Sciences (UB RAS), Yekaterinburg, Russia)
,
Gurev Viatcheslav
(IBM Research, Yorktown, NY, USA)
資料名:
Journal of Pharmacokinetics and Pharmacodynamics
(Journal of Pharmacokinetics and Pharmacodynamics)
巻:
49
号:
1
ページ:
51-64
発行年:
2022年
JST資料番号:
D0684A
ISSN:
1567-567X
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
ドイツ (DEU)
言語:
英語 (EN)