Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Jérémy Magnanensi"'
Publikováno v:
Frontiers in Applied Mathematics and Statistics, Vol 7 (2021)
Methods based on partial least squares (PLS) regression, which has recently gained much attention in the analysis of high-dimensional genomic datasets, have been developed since the early 2000s for performing variable selection. Most of these techniq
Externí odkaz:
https://doaj.org/article/0a8ab28962a346b5bc74e0bb4189d93c
Autor:
Arun J. Sanyal, Nicolas Stankovic-Valentin, Jérémy Magnanensi, Yacine Hajji, Christian Rosenquist, Suneil Hosmane
Publikováno v:
Diabetes. 70
Background: Type 2 diabetes (T2D) is an independent risk factor for the development of nonalcoholic steatohepatitis (NASH. However, there is a need for non-invasive tests (NIT) to identify at-risk NASH patients requiring intense lifestyle or clinical
Autor:
Pierre Bedossa, Rémy Hanf, John Brozek, Quentin M. Anstee, G. Cordonnier, Yacine Hajji, Pierre Chaumat, Raphaël Darteil, Jérôme Boursier, Dam Noémie, S. Megnien, Roman Liebe, Suneil Hosmane, Jérémy Magnanensi, Stephen A. Harrison, A. Roudot, Bart Staels, Vlad Ratziu, Dean W. Hum, Sven Francque, Arun J. Sanyal, Zouher Majd, Fouad Ben Sudrik
Publikováno v:
The Lancet Gastroenterology and Hepatology
The Lancet Gastroenterology and Hepatology, Elsevier, 2020, 5 (11), pp.970-985. ⟨10.1016/S2468-1253(20)30252-1⟩
Lancet gastroenterology & hepatology
The Lancet Gastroenterology and Hepatology, Elsevier, 2020, 5 (11), pp.970-985. ⟨10.1016/S2468-1253(20)30252-1⟩
Lancet gastroenterology & hepatology
Summary Background Non-invasive tests that can identify patients with non-alcoholic steatohepatitis (NASH) at higher risk of disease progression are lacking. We report the development and validation of a blood-based diagnostic test to non-invasively
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f9284a623f20f102f986641604e354e6
https://hal.univ-angers.fr/hal-03284308
https://hal.univ-angers.fr/hal-03284308
Autor:
Quentin M. Anstee, Jeremy Magnanensi, Yacine Hajji, Alexandra Caron, Zouher Majd, Christian Rosenquist, Dean W. Hum, Bart Staels, Margery A. Connelly, Rohit Loomba, Stephen A. Harrison, Vlad Ratziu, Arun J. Sanyal
Publikováno v:
JHEP Reports, Vol 6, Iss 4, Pp 101011- (2024)
Background & Aims: Robust performance of non-invasive tests (NITs) across ages is critical to assess liver disease among patients with metabolic dysfunction-associated liver disease (MASLD). We evaluated the impact of age on the performance of NIS2+
Externí odkaz:
https://doaj.org/article/e823e08beef848c0a1ad7f05022bf9e3
Publikováno v:
Statistics and Computing. 27:757-774
We develop a new robust stopping criterion in Partial Least Squares Regressions (PLSR) components construction characterised by a high level of stability. This new criterion is defined as a universal one since it is suitable both for PLSR and its ext
Publikováno v:
PLS 2014: The Multiple Facets of Partial Least Squares and Related Methods
PLS 2014: The Multiple Facets of Partial Least Squares and Related Methods, pp.239-250, 2016, ⟨10.1007/978-3-319-40643-5_18⟩
Springer Proceedings in Mathematics & Statistics ISBN: 9783319406411
PLS 2014: The Multiple Facets of Partial Least Squares and Related Methods, pp.239-250, 2016, ⟨10.1007/978-3-319-40643-5_18⟩
Springer Proceedings in Mathematics & Statistics ISBN: 9783319406411
We develop a new universal stopping criterion in components construction, in the sense that it is suitable both for Partial Least Squares Regressions (PLSR) and its extension to Generalized Linear Regressions (PLSGLR). This criterion is based on a bo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b07c149b8430cd1b6bb2d51173394364
https://hal.archives-ouvertes.fr/hal-02283528
https://hal.archives-ouvertes.fr/hal-02283528
Publikováno v:
HAL
21st International Conference on Computational Statistics
21st International Conference on Computational Statistics, Aug 2014, Genève, Switzerland
21st International Conference on Computational Statistics
21st International Conference on Computational Statistics, Aug 2014, Genève, Switzerland
International audience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::ac784df97265e22a95657823d5ff1b7a
https://hal.archives-ouvertes.fr/hal-03577932
https://hal.archives-ouvertes.fr/hal-03577932
Publikováno v:
HAL
CMStatistics 2015
CMStatistics 2015, Dec 2015, Londres, United Kingdom
CMStatistics 2015
CMStatistics 2015, Dec 2015, Londres, United Kingdom
International audience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::80e084de6f52034d3460bc93a28d633d
https://hal.archives-ouvertes.fr/hal-03577882
https://hal.archives-ouvertes.fr/hal-03577882