Zobrazeno 1 - 10
of 606
pro vyhledávání: '"Physiome"'
Autor:
Yoojin Seo, Seokyoung Bang, Jeongtae Son, Dongsup Kim, Yong Jeong, Pilnam Kim, Jihun Yang, Joon-Ho Eom, Nakwon Choi, Hong Nam Kim
Publikováno v:
Bioactive Materials, Vol 13, Iss , Pp 135-148 (2022)
In the last few decades, adverse reactions to pharmaceuticals have been evaluated using 2D in vitro models and animal models. However, with increasing computational power, and as the key drivers of cellular behavior have been identified, in silico mo
Externí odkaz:
https://doaj.org/article/7cb4634453d1471087664df5abc45202
Publikováno v:
F1000Research, Vol 12 (2023)
The Transformer-based approaches to solving natural language processing (NLP) tasks such as BERT and GPT are gaining popularity due to their ability to achieve high performance. These approaches benefit from using enormous data sizes to create pre-tr
Externí odkaz:
https://doaj.org/article/913877e8152e4b9b8e1dfcddc10e08b0
Autor:
Robbins-Roth, Cynthia1
Publikováno v:
Forbes. 8/10/1998, Vol. 162 Issue 3, p109-109. 1p. 1 Color Photograph.
Autor:
Yuda Munarko, Dewan M. Sarwar, Anand Rampadarath, Koray Atalag, John H. Gennari, Maxwell L. Neal, David P. Nickerson
Publikováno v:
Frontiers in Physiology, Vol 13 (2022)
Semantic annotation is a crucial step to assure reusability and reproducibility of biosimulation models in biology and physiology. For this purpose, the COmputational Modeling in BIology NEtwork (COMBINE) community recommends the use of the Resource
Externí odkaz:
https://doaj.org/article/4989d70e88c544a7931c06baa0381d7e
Publikováno v:
PharmaWatch: Biotechnology. September 2003, Vol. 2 Issue 9, p18-19. 2p.
Autor:
Dewan M. Sarwar, Reza Kalbasi, John H. Gennari, Brian E. Carlson, Maxwell L. Neal, Bernard de Bono, Koray Atalag, Peter J. Hunter, David P. Nickerson
Publikováno v:
BMC Bioinformatics, Vol 20, Iss 1, Pp 1-10 (2019)
Abstract Background Mathematics and Phy sics-based simulation models have the potential to help interpret and encapsulate biological phenomena in a computable and reproducible form. Similarly, comprehensive descriptions of such models help to ensure
Externí odkaz:
https://doaj.org/article/88988399891345fb876823d486557f18
Akademický článek
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Autor:
Hong Nam Kim, Jeongtae Son, Joon-Ho Eom, Jihun Yang, Nakwon Choi, Pilnam Kim, Seokyoung Bang, Yong Jeong, Yoojin Seo, Dongsup Kim
Publikováno v:
Bioactive Materials, Vol 13, Iss, Pp 135-148 (2022)
In the last few decades, adverse reactions to pharmaceuticals have been evaluated using 2D in vitro models and animal models. However, with increasing computational power, and as the key drivers of cellular behavior have been identified, in silico mo
Autor:
Clerx Michael, Cooling Michael T., Cooper Jonathan, Garny Alan, Moyle Keri, Nickerson David P., Nielsen Poul M. F., Sorby Hugh
Publikováno v:
Journal of Integrative Bioinformatics, Vol 17, Iss 2-3 (2020)
We present here CellML 2.0, an XML-based language for describing and exchanging mathematical models of physiological systems. MathML embedded in CellML documents is used to define the underlying mathematics of models. Models consist of a network of r
Externí odkaz:
https://doaj.org/article/f24b37efcdd446a495f6532302f62126
Autor:
Shangbin Chen, Alexey Zaikin
Publikováno v:
Frontiers in Physiology, Vol 11 (2020)
Externí odkaz:
https://doaj.org/article/6ad4e9b237b14fa29f3a2b60011bd070