Zobrazeno 1 - 5
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pro vyhledávání: '"Rayan Eid"'
Autor:
Rayan Eid, Claudine Landès, Alix Pernet, Emmanuel Benoît, Pierre Santagostini, Angelina El Ghaziri, Julie Bourbeillon
Publikováno v:
BioData Mining, Vol 15, Iss 1, Pp 1-30 (2022)
Abstract Background Thanks to the wider spread of high-throughput experimental techniques, biologists are accumulating large amounts of datasets which often mix quantitative and qualitative variables and are not always complete, in particular when th
Externí odkaz:
https://doaj.org/article/99dc1d8faf6a46c3ab55331d4082a4b8
Autor:
Emmanuel Benoît, Claudine Landès, Julie Bourbeillon, Alix Pernet, Pierre Santagostini, Rayan Eid, Angélina El Ghaziri
BackgroundThanks to the wider spread of high-throughput experimental techniques, biologists are accumulating large amounts of datasets which often mix quantitative and qualitative variables and are not always complete, in particular when they regard
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72bbace01a3efb426b6dcc8eea1f9460
https://doi.org/10.21203/rs.3.rs-742853/v1
https://doi.org/10.21203/rs.3.rs-742853/v1
Autor:
Rayan Eid, Claudine Landès, Alix Pernet, Emmanuel Benoît, Pierre Santagostini, Angelina El Ghaziri, Julie Bourbeillon
Publikováno v:
BioData mining. 15(1)
Background Thanks to the wider spread of high-throughput experimental techniques, biologists are accumulating large amounts of datasets which often mix quantitative and qualitative variables and are not always complete, in particular when they regard
Publikováno v:
Proceedings of the International Conference on Industrial Engineering & Operations Management; 3/7/2022, p3476-3486, 11p
Publikováno v:
IEOM Annual International Conference Proceedings; 2022, p3476-3486, 11p