Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Marie Perrot-Dockès"'
Nous proposons dans ce chapitre une nouvelle méthode de sélection de variables dans le modèle linéaire général tenant compte de la dépendance pouvant exister entre les colonnes de la matrice d’observations afin de l’appliquer à des donné
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::513fef9c8795b02b139dd42e1e75e46a
https://doi.org/10.51926/iste.9030.ch4
https://doi.org/10.51926/iste.9030.ch4
Autor:
M. Guillot-Delost, Anne-Sophie Hamy, Fatima Mechta-Grigoriou, Philemon Sirven, Virginie Fourchotte, Lilith Faucheux, Frédérique Berger, Anne Vincent-Salomon, Marie Perrot-Dockès, Fabien Reyal, Maximilien Grandclaudon, Vassili Soumelis, A. Scholer-Dahirel
Publikováno v:
OncoImmunology, Vol 8, Iss 9 (2019)
Oncoimmunology
Oncoimmunology
A diversity of T helper (Th) subsets (Th1, Th2, Th17) has been identified in the human tumor microenvironment. In breast cancer, the role of Th subsets remains controversial, and a systematic study integrating Th subset diversity, T cell inflammation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::27ceec2ce84482cb8065ce8dc59c5ad0
https://doaj.org/article/5ae8203cab4b4848bed3f06e0f136051
https://doaj.org/article/5ae8203cab4b4848bed3f06e0f136051
Publikováno v:
Journal of the Royal Statistical Society: Series C Applied Statistics
Journal of the Royal Statistical Society: Series C Applied Statistics, Wiley, In press
Journal of the Royal Statistical Society: Series C Applied Statistics, Wiley, In press
Motivated by an application in high-throughput genomics and metabolomics, we propose a novel and fully data-driven approach for estimating large block structured sparse covariance matrices in the case where the number of variables is much larger than
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::acefe976d13766a0ca4abede7a8fce19
https://hal.archives-ouvertes.fr/hal-02183239
https://hal.archives-ouvertes.fr/hal-02183239
Autor:
Denis Thieffry, Julien Chiquet, Vassili Soumelis, Céline Lévy-Leduc, Laure Sansonnet, Wassim Abou-Jaoudé, Coline Trichot, Frédérique Berger, Maximilien Grandclaudon, Philippe Hupé, Marie Perrot-Dockès, Omar Mostafa-Abouzid
Publikováno v:
SSRN Electronic Journal.
Cell-cell communication involves a large number of molecular signals that function as words of a complex language, the grammar of which remaining mostly unknown. Here, we describe an integrative approach involving: i) protein-level measurement of mul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f6eb7a0d61c3cfd522109aab86dd8539
https://doi.org/10.2139/ssrn.3353217
https://doi.org/10.2139/ssrn.3353217
Autor:
Laure Sansonnet, Marie Perrot-Dockès, Céline Lévy-Leduc, Stéphane Robin, Grégory Genta-Jouve, Julien Chiquet, Margaux Brégère, Marie-Pierre Etienne
Publikováno v:
Statistical Applications in Genetics and Molecular Biology
Statistical Applications in Genetics and Molecular Biology, De Gruyter, 2018, 17 (5), ⟨10.1515/sagmb-2017-0077⟩
Statistical Applications in Genetics and Molecular Biology, De Gruyter, 2018, ⟨10.1515/sagmb-2017-0077⟩
Statistical Applications in Genetics and Molecular Biology, De Gruyter, 2018, 17 (5), ⟨10.1515/sagmb-2017-0077⟩
Statistical Applications in Genetics and Molecular Biology, De Gruyter, 2018, ⟨10.1515/sagmb-2017-0077⟩
Omic data are characterized by the presence of strong dependence structures that result either from data acquisition or from some underlying biological processes. Applying statistical procedures that do not adjust the variable selection step to the d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c918105dccf33bc2c9fbce3def3d79f9
https://hal-agroparistech.archives-ouvertes.fr/hal-02902041
https://hal-agroparistech.archives-ouvertes.fr/hal-02902041
Autor:
Charlotte Brault, Marie Perrot-Dockès, Agnes Doligez, Julien Chiquet, Loic Le Cunff, Timothée Flutre
Publikováno v:
17. Meeting of the EUCARPIA Section Biometrics in Plant Breeding
17. Meeting of the EUCARPIA Section Biometrics in Plant Breeding, Sep 2018, Gand, Belgium
HAL
17. Meeting of the EUCARPIA Section Biometrics in Plant Breeding, Sep 2018, Gand, Belgium
HAL
Genetic selection in grapevine and many similar species is a challenge due to their perennial status and outbred nature. Marker-assisted selection and genomic selection can hence be useful methods to ease and speed up breeding. In Coupel-Ledru et al
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::67fd0256cc81975fb107b1fb89c39ad2
http://hdl.handle.net/20.500.12278/32590
http://hdl.handle.net/20.500.12278/32590
Autor:
Wassim Abou-Jaoudé, Céline Lévy-Leduc, Coline Trichot, Léa Karpf, Maximilien Grandclaudon, Marie Perrot-Dockès, Philémon Sirven, Frédérique Berger, Philippe Hupé, Omar Abouzid, Vassili Soumelis, Denis Thieffry, Julien Chiquet, Laure Sansonnet, Camille Chauvin
Publikováno v:
Cell
Cell, Elsevier, 2019, 179 (2), pp.432-447.e21. ⟨10.1016/j.cell.2019.09.012⟩
Cell, 2019, 179 (2), pp.432-447.e21. ⟨10.1016/j.cell.2019.09.012⟩
Cell, Elsevier, 2019, 179 (2), pp.432-447.e21. ⟨10.1016/j.cell.2019.09.012⟩
Cell, 2019, 179 (2), pp.432-447.e21. ⟨10.1016/j.cell.2019.09.012⟩
International audience; Cell-cell communication involves a large number of molecular signals that function as words of a complex language whose grammar remains mostly unknown. Here, we describe an integrative approach involving (1) protein-level meas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f03591a380ed4062fa17a053fb79a47a
https://doi.org/10.1016/j.cell.2019.09.012
https://doi.org/10.1016/j.cell.2019.09.012
Publikováno v:
Journal of Multivariate Analysis
Journal of Multivariate Analysis, Elsevier, 2018, 166, pp.78-97. ⟨10.1016/j.jmva.2018.02.006⟩
Journal of Multivariate Analysis, Elsevier, 2018, 166, pp.78-97. ⟨10.1016/j.jmva.2018.02.006⟩
In this paper, we propose a novel variable selection approach in the framework of multivariate linear models taking into account the dependence that may exist between the responses. It consists in estimating beforehand the covariance matrix Σ of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e83b5ac8b2d6ff6930c6bf5f6054089