Zobrazeno 1 - 8
of 8
pro vyhledávání: '"de Visser, Casper"'
Autor:
Liao, Xiaofeng, Ederveen, Thomas H.A., Niehues, Anna, de Visser, Casper, Huang, Junda, Badmus, Firdaws, Doornbos, Cenna, Orlova, Yuliia, Kulkarni, Purva, van der Velde, K. Joeri, Swertz, Morris A., Brandt, Martin, van Gool, Alain J., 't Hoen, Peter A. C.
Publikováno v:
Journal of Biomedical Semantics; 12/28/2024, Vol. 15 Issue 1, p1-13, 13p
Autor:
de Visser, Casper1 (AUTHOR), Johansson, Lennart F.2 (AUTHOR), Kulkarni, Purva1,3,4 (AUTHOR), Mei, Hailiang5 (AUTHOR), Neerincx, Pieter2 (AUTHOR), Joeri van der Velde, K.2 (AUTHOR), Horvatovich, Péter6 (AUTHOR), van Gool, Alain J.3,4 (AUTHOR), Swertz, Morris A.2 (AUTHOR), Hoen, Peter A. C. 't1 (AUTHOR) peter-bram.thoen@radboudumc.nl, Niehues, Anna1,3 (AUTHOR)
Publikováno v:
PLoS Computational Biology. 9/28/2023, Vol. 19 Issue 9, p1-13. 13p. 1 Chart.
Akademický článek
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Autor:
Niehues, Anna, 't Hoen, Peter-Bram, de Visser, Casper, Vrbkova, Jana, Najdekr, Lukáš, Toth, Reka, Fernandez, Val
The key scientific output of the EATRIS-Plus project is to develop a Multi-omic Toolbox available for researchers in order to have a better understanding of the molecular profiles in personalised medicine. Within work packages 1, 2, and 3, we impleme
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5df57620dea3666ac3d64ed0c7d906c8
Autor:
Najdekr, Lukáš, Niehues, Anna, de Visser, Casper, Ekberg, Sara, Stanková, Jarmila, García Bermejo, Laura, Fernández, Val, Conde, Elisa, Toth, Reka
The biological samples from the Czech cohort (n=127) were analysed by individual “omics” approaches (genomics, transcriptomics, epigenomics, proteomics, metabolomics) at the particular EATRIS sites across Europe. Study subjects were informed and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6ead384a0e800ffc6103fae176083cc
Autor:
Niehues, Anna, de Visser, Casper, Hagenbeek, Fiona A., Karu, Naama, Kindt, Alida S.D., Kulkarni, Purva, Pool, René, Boomsma, Dorret I., van Dongen, Jenny, van Gool, Alain J., 't Hoen, Peter A.C.
Publikováno v:
Research Ideas and Outcomes 8: e94042
In current biomedical and complex trait research, increasing numbers of large molecular profiling (omics) data sets are being generated. At the same time, many studies fail to be reproduced (Baker 2016, Kim 2018). In order to improve study reproducib
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f2d2cfefb9bc7c1052a062194067cb97
Autor:
Liao Xiaofeng, Niehues Anna, Brandt Martin, Ederveen Tom, Huang Junda, Kulkarni Purva, de Visser Casper, Doornbos Cenna, van der Velde Joeri, van Vliet Michael, 't Hoen Peter-Bram
The FAIR (Findable, Accessible, Interoperable and Reusable) principleswere proposed to guide researchers to describe and share their data to increase data reuse and research reproducibility. Creating FAIR data can be challenging for multi-omics resea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1dd70e96ce913c715a61553adf707c74
Autor:
Niehues, Anna, Liao, XiaoFeng, Brandt, Martin, Doorbos, Cenna, Ederveen, Tom, Hagenbeek, Fiona, Huang, Junda, Kulkarni, Purva, van der Velde, K. Joeri, de Visser, Casper, van Vliet, Michael, 't Hoen, Peter A. C.
The FAIR (Findable, Accessible, Interoperable and Reusable) (FAIR) principles were proposed [1] to guide researchers to describe and share their data to increase data reuse and research reproducibility. Creating FAIR data can be challenging for multi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::15175851499bf2a067d8e3aa7e8e2a56