Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Geng, Cunliang"'
Autor:
van Leeuwen, Caspar, Podareanu, Damian, Codreanu, Valeriu, Cai, Maxwell X., Berg, Axel, Zwart, Simon Portegies, Stoffer, Robin, Veerman, Menno, van Heerwaarden, Chiel, Otten, Sydney, Caron, Sascha, Geng, Cunliang, Ambrosetti, Francesco, Bonvin, Alexandre M. J. J.
Traditional simulations on High-Performance Computing (HPC) systems typically involve modeling very large domains and/or very complex equations. HPC systems allow running large models, but limits in performance increase that have become more prominen
Externí odkaz:
http://arxiv.org/abs/2004.03454
Autor:
Jung, Yong1,2,3 (AUTHOR), Geng, Cunliang4 (AUTHOR), Bonvin, Alexandre M. J. J.4 (AUTHOR), Xue, Li C.4,5 (AUTHOR) li.xue@radboudumc.nl, Honavar, Vasant G.1,2,3,6,7,8,9 (AUTHOR) li.xue@radboudumc.nl
Publikováno v:
Biomolecules (2218-273X). Jan2023, Vol. 13 Issue 1, p121. 20p.
Autor:
Van Der Hooft, Justin J.J., Medema, Marnix H., Weber, Tilmann, Leao, Tiago, Navarro-Muñoz, Jorge C., Schmid, Robin, Brungs, Corinna, Zdouc, Mitja M., Terlouw, Barbara, Barona-Gómez, Paco, Geng, Cunliang, Caesar, Lindsay
These materials were used as a part of the NPLinker eScience Workshop on Natural Product Genome & Metabolome Mining: https://www.wur.nl/en/research-results/chair-groups/plant-sciences/bioinformatics/teaching/nplinker_workshop.htm Most materials are a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::22f09dc704217034e26fec41bed3f5f2
Publikováno v:
Deutsche Gesellschaft für Biomechanik
David, S, Georgievska, S, Liu, Y, Geng, C & Punt, M 2022, ' Using Deep Learning in Stroke Rehabilitation-A step towards individualized patient care ', Paper presented at Deutsche Gesellschaft für Biomechanik, Cologne, Germany, 28/09/22-30/09/22 .
David, S, Georgievska, S, Liu, Y, Geng, C & Punt, M 2022, ' Using Deep Learning in Stroke Rehabilitation-A step towards individualized patient care ', Paper presented at Deutsche Gesellschaft für Biomechanik, Cologne, Germany, 28/09/22-30/09/22 .
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::95fad68028fd398fa13dbec2850a6676
https://hdl.handle.net/1871.1/1b737aa3-5402-4396-9330-36c2bd8df994
https://hdl.handle.net/1871.1/1b737aa3-5402-4396-9330-36c2bd8df994
Poster about gamebus-fhir-layer of STRAP projectfor Health-RI Conference 2022.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::458a726d0852596fa4ea653a4a9f2283
Akademický článek
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Autor:
CADAVID, Héctor, GENG, Cunliang
Publikováno v:
Studies in Health Technology & Informatics; 2024, Vol. 316, p1603-1604, 2p
Publikováno v:
Studies in Health Technology & Informatics; 2024, Vol. 316, p1312-1313, 2p
Autor:
Renaud, Nicolas, Jung, Yong, Honavar, Vasant, Geng, Cunliang, Bonvin, Alexandre M.J.J., Xue, Li C., Sub NMR Spectroscopy, NMR Spectroscopy
Publikováno v:
SoftwareX, 11. Elsevier BV
SoftwareX, 11
SoftwareX, Vol 11, Iss, Pp-(2020)
SoftwareX, 11
SoftwareX, Vol 11, Iss, Pp-(2020)
Contains fulltext : 220863.pdf (Publisher’s version ) (Open Access) Computational docking is a promising tool to model three-dimensional (3D) structures of protein–protein complexes, which provides fundamental insights of protein functions in the
Autor:
Koukos, Panagiotis I., Roel-Touris, Jorge, Ambrosetti, Francesco, Geng, Cunliang, Schaarschmidt, Jorg, Trellet, Mikael E., Melquiond, Adrien S. J., Xue, Li C., Honorato, Rodrigo V., Moreira, Irina, Kurkcuoglu, Zeynep, Vangone, Anna, Bonvin, Alexandre M. J. J.
Our information‐driven docking approach HADDOCK has demonstrated a sustained performance since the start of its participation to CAPRI. This is due, in part, to its ability to integrate data into the modeling process, and to the robustness of its s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______101::f154be9aa09d08aacf0b80c020caa1d7
https://dspace.library.uu.nl/handle/1874/390638
https://dspace.library.uu.nl/handle/1874/390638