Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Patrice Ringot"'
Autor:
Pierre Monnin, Joël Legrand, Graziella Husson, Patrice Ringot, Andon Tchechmedjiev, Clément Jonquet, Amedeo Napoli, Adrien Coulet
Publikováno v:
BMC Bioinformatics, Vol 20, Iss S4, Pp 1-16 (2019)
Abstract Background Pharmacogenomics (PGx) studies how genomic variations impact variations in drug response phenotypes. Knowledge in pharmacogenomics is typically composed of units that have the form of ternary relationships gene variant – drug
Externí odkaz:
https://doaj.org/article/210c97bd6ba0417c8591fb56b15c4675
Autor:
Kevin Dalleau, Yassine Marzougui, Sébastien Da Silva, Patrice Ringot, Ndeye Coumba Ndiaye, Adrien Coulet
Publikováno v:
Journal of Biomedical Semantics, Vol 8, Iss 1, Pp 1-12 (2017)
Abstract Background A standard task in pharmacogenomics research is identifying genes that may be involved in drug response variability, i.e., pharmacogenes. Because genomic experiments tended to generate many false positives, computational approache
Externí odkaz:
https://doaj.org/article/45dc41e08f264d1d8635cf01654f0dca
Publikováno v:
Information, Vol 10, Iss 5, p 178 (2019)
Istex is a database of twenty million full text scientific papers bought by the French Government for the use of academic libraries. Papers are usually searched for by the title, authors, keywords or possibly the abstract. To authorize new types of q
Externí odkaz:
https://doaj.org/article/c884aa1ad321462387d395d96e2a35f7
Autor:
Kevin Dalleau, Joël Legrand, Adrien Coulet, Nadine Petitpain, Malika Smaïl-Tabbone, Romain Gogdemir, Yannick Toussaint, William Digan, Cédric Bousquet, Marie-Dominique Devignes, Patrice Ringot, Ndeye-Coumba Ndiaye, Chia-Ju Lee
Publikováno v:
Scientific Data
Scientific Data, Nature Publishing Group, 2020, 7 (3), ⟨10.1038/s41597-019-0342-9⟩
Scientific Data, Vol 7, Iss 1, Pp 1-13 (2020)
Scientific Data, 2020, 7, pp.3. ⟨10.1038/s41597-019-0342-9⟩
Scientific Data, Nature Publishing Group, 2020, 7 (3), ⟨10.1038/s41597-019-0342-9⟩
Scientific Data, Vol 7, Iss 1, Pp 1-13 (2020)
Scientific Data, 2020, 7, pp.3. ⟨10.1038/s41597-019-0342-9⟩
Pharmacogenomics (PGx) studies how individual gene variations impact drug response phenotypes, which makes PGx-related knowledge a key component towards precision medicine. A significant part of the state-of-the-art knowledge in PGx is accumulated in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a17266e34c522d1ca42c7f80478dd151
Autor:
Adrien Coulet, Kevin Dalleau, Patrice Ringot, Sébastien Da Silva, Ndeye Coumba Ndiaye, Yassine Marzougui
Publikováno v:
Journal of Biomedical Semantics
Journal of Biomedical Semantics, BioMed Central, 2017, 8 (1), pp.16. ⟨10.1186/s13326-017-0125-1⟩
Journal of Biomedical Semantics, 2017, 8 (1), pp.16. ⟨10.1186/s13326-017-0125-1⟩
Journal of Biomedical Semantics, Vol 8, Iss 1, Pp 1-12 (2017)
Journal of Biomedical Semantics, BioMed Central, 2017, 8 (1), pp.16. ⟨10.1186/s13326-017-0125-1⟩
Journal of Biomedical Semantics, 2017, 8 (1), pp.16. ⟨10.1186/s13326-017-0125-1⟩
Journal of Biomedical Semantics, Vol 8, Iss 1, Pp 1-12 (2017)
Background A standard task in pharmacogenomics research is identifying genes that may be involved in drug response variability, i.e., pharmacogenes. Because genomic experiments tended to generate many false positives, computational approaches based o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6bda02895091220390c9c8163426fb5b
https://hal.inria.fr/hal-01511773/document
https://hal.inria.fr/hal-01511773/document
