Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Magalie Houée-Bigot"'
Publikováno v:
Journal of Statistical Software, Vol 95, Iss 1, Pp 1-32 (2020)
GeneGeneInteR is an R package dedicated to the detection of an association between a case-control phenotype and the interaction between two sets of biallelic markers (single nucleotide polymorphisms or SNPs) in case-control genome-wide associations s
Externí odkaz:
https://doaj.org/article/24c4d3451ed142f98efb52fa0ac3ff23
Autor:
Frédéric Hérault, Magalie Houée-Bigot, Elisabeth Baéza, Olivier Bouchez, Diane Esquerré, Christophe Klopp, Christian Diot
Publikováno v:
BMC Genomics, Vol 20, Iss 1, Pp 1-14 (2019)
Abstract Background Duck species are known to have different susceptibility to fatty liver production in response to overfeeding. In order to better describe mechanisms involved in the development of hepatic steatosis and differences between species,
Externí odkaz:
https://doaj.org/article/07aab75e4b864ebe97e4b66b6818770b
Publikováno v:
Journal of Statistical Software
Journal of Statistical Software, University of California, Los Angeles, 2020, 95 (12), pp.1-32. ⟨10.18637/jss.v095.i12⟩
Journal of Statistical Software; Vol 95 (2020); 1-32
Journal of Statistical Software, 2020, 95 (12), pp.1-32. ⟨10.18637/jss.v095.i12⟩
Journal of Statistical Software, Vol 95, Iss 1, Pp 1-32 (2020)
Journal of Statistical Software, University of California, Los Angeles, 2020, 95 (12), pp.1-32. ⟨10.18637/jss.v095.i12⟩
Journal of Statistical Software; Vol 95 (2020); 1-32
Journal of Statistical Software, 2020, 95 (12), pp.1-32. ⟨10.18637/jss.v095.i12⟩
Journal of Statistical Software, Vol 95, Iss 1, Pp 1-32 (2020)
GeneGeneInteR is an R package dedicated to the detection of an association between a case-control phenotype and the interaction between two sets of biallelic markers (single nucleotide polymorphisms or SNPs) in case-control genome-wide associations s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f5b2c3010951159e4dcefb3804372dcc
https://hal.archives-ouvertes.fr/hal-02997454/document
https://hal.archives-ouvertes.fr/hal-02997454/document
Autor:
Olivier Bouchez, Frédéric Hérault, Christian Diot, Magalie Houée-Bigot, Christophe Klopp, Diane Esquerre, Elisabeth Baéza
Publikováno v:
BMC Genomics
BMC Genomics, BioMed Central, 2019, 20 (13), pp.1-14. ⟨10.1186/s12864-018-5415-1⟩
BMC Genomics (20), Non paginé. (2019)
BMC Genomics, Vol 20, Iss 1, Pp 1-14 (2019)
BMC Genomics, BioMed Central, 2019, 20 (13), pp.1-14. ⟨10.1186/s12864-018-5415-1⟩
BMC Genomics (20), Non paginé. (2019)
BMC Genomics, Vol 20, Iss 1, Pp 1-14 (2019)
Background Duck species are known to have different susceptibility to fatty liver production in response to overfeeding. In order to better describe mechanisms involved in the development of hepatic steatosis and differences between species, transcri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3df3360f64275e78029a9cd4fca2736c
https://hal.archives-ouvertes.fr/hal-02135884/document
https://hal.archives-ouvertes.fr/hal-02135884/document
Autor:
David Causeur, Cécile Berri, Magalie Houée-Bigot, Christelle Hennequet-Antier, Colette Désert, Yuna Blum, Morgane Boutin, Elisabeth Baéza, Jérôme Montfort, Sonia Métayer-Coustard, E. Le Bihan, Anne Collin, Michel J. Duclos, Sandrine Lagarrigue, M. Aite, Florence Gondret, A. le Cam, Pierre-François Roux, S. Allais
Publikováno v:
BMC Genomics
BMC Genomics, BioMed Central, 2018, 19 (1), pp.1-19. ⟨10.1186/s12864-018-4520-5⟩
BMC Genomics, BioMed Central, 2018, 19 (1), n.p. 〈10.1186/s12864-018-4520-5〉
BMC Genomics, BioMed Central, 2018, 19 (1), pp.187. ⟨10.1186/s12864-018-4520-5⟩
BMC Genomics, Vol 19, Iss 1, Pp 1-18 (2018)
BMC Genomics 1 (19), . (2018)
BMC Genomics, 2018, 19 (1), pp.1-19. ⟨10.1186/s12864-018-4520-5⟩
BMC Genomics, BioMed Central, 2018, 19 (1), pp.1-19. ⟨10.1186/s12864-018-4520-5⟩
BMC Genomics, BioMed Central, 2018, 19 (1), n.p. 〈10.1186/s12864-018-4520-5〉
BMC Genomics, BioMed Central, 2018, 19 (1), pp.187. ⟨10.1186/s12864-018-4520-5⟩
BMC Genomics, Vol 19, Iss 1, Pp 1-18 (2018)
BMC Genomics 1 (19), . (2018)
BMC Genomics, 2018, 19 (1), pp.1-19. ⟨10.1186/s12864-018-4520-5⟩
The 178 microarrays are MIAME compliant and available in Gene Expression Omnibus (GEO) through GEO Series accession number GSE104042 andplatform number GPL19630.; International audience; Background: Because the cost of cereals is unstable and represe
Publikováno v:
Statistical Applications in Genetics and Molecular Biology
Statistical Applications in Genetics and Molecular Biology, De Gruyter, 2016, 15 (3), pp.253-272. 〈10.1515/sagmb-2015-0002〉
Statistical Applications in Genetics and Molecular Biology, De Gruyter, 2016, 15 (3), pp.253-272. ⟨10.1515/sagmb-2015-0002⟩
Statistical Applications in Genetics and Molecular Biology, 2016, 15 (3), pp.253-272. ⟨10.1515/sagmb-2015-0002⟩
Statistical Applications in Genetics and Molecular Biology, De Gruyter, 2016, 15 (3), pp.253-272. 〈10.1515/sagmb-2015-0002〉
Statistical Applications in Genetics and Molecular Biology, De Gruyter, 2016, 15 (3), pp.253-272. ⟨10.1515/sagmb-2015-0002⟩
Statistical Applications in Genetics and Molecular Biology, 2016, 15 (3), pp.253-272. ⟨10.1515/sagmb-2015-0002⟩
Inference on gene regulatory networks from high-throughput expression data turns out to be one of the main current challenges in systems biology. Such networks can be very insightful for the deep understanding of interactions between genes. Because g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d15bb358723ad29ab80457c9813ef2be
https://hal.archives-ouvertes.fr/hal-01340542
https://hal.archives-ouvertes.fr/hal-01340542
Autor:
Annie Vincent, Anne Siegel, Sandrine Lagarrigue, Isabelle Louveau, Magalie Houée-Bigot, David Causeur, Florence Gondret
Publikováno v:
BMC Genomics
BMC Genomics, 2016, 17 (1), pp.120. ⟨10.1186/s12864-016-2438-3⟩
BMC Genomics 1 (17), 120. (2016)
BMC Genomics, BioMed Central, 2016, 17 (1), pp.120. ⟨10.1186/s12864-016-2438-3⟩
BMC Genomics, BioMed Central, 2016, 17 (1), pp.120. 〈10.1186/s12864-016-2438-3〉
BMC Genomics, 2016, 17 (1), pp.120. ⟨10.1186/s12864-016-2438-3⟩
BMC Genomics 1 (17), 120. (2016)
BMC Genomics, BioMed Central, 2016, 17 (1), pp.120. ⟨10.1186/s12864-016-2438-3⟩
BMC Genomics, BioMed Central, 2016, 17 (1), pp.120. 〈10.1186/s12864-016-2438-3〉
Background Changing the energy and nutrient source for growing animals may be an effective way of limiting adipose tissue expansion, a response which may depend on the genetic background of the animals. This study aims to describe the transcriptional
Autor:
M.A. Smits, Sandrine Lagarrigue, Magalie Houée-Bigot, David Causeur, Yuna Blum, A. Bannink, Núria Mach
Publikováno v:
Journal of Dairy Science 95 (2012) 9
Journal of Dairy Science, 95(9), 4989-5000
Journal of Dairy Science
Journal of Dairy Science, American Dairy Science Association, 2012, 95 (9), pp.4989-5000. 〈10.3168/jds.2012-5348〉
Journal of Dairy Science, American Dairy Science Association, 2012, 95 (9), pp.4989-5000. ⟨10.3168/jds.2012-5348⟩
Journal of Dairy Science, 2012, 95 (9), pp.4989-5000. ⟨10.3168/jds.2012-5348⟩
Journal of Dairy Science, 95(9), 4989-5000
Journal of Dairy Science
Journal of Dairy Science, American Dairy Science Association, 2012, 95 (9), pp.4989-5000. 〈10.3168/jds.2012-5348〉
Journal of Dairy Science, American Dairy Science Association, 2012, 95 (9), pp.4989-5000. ⟨10.3168/jds.2012-5348⟩
Journal of Dairy Science, 2012, 95 (9), pp.4989-5000. ⟨10.3168/jds.2012-5348⟩
Chantier qualité GA; Microarray analysis was used to identify genes whose expression in the mammary gland of Holstein-Friesian dairy cows was affected by the nonconservative Ala to Lys amino acid substitution at position 232 in exon VIII of the diac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2491ad49e919e259500f8e32905a1984
https://research.wur.nl/en/publications/pleiotropic-effects-of-polymorphism-of-the-gene-diacylglycerol-o-
https://research.wur.nl/en/publications/pleiotropic-effects-of-polymorphism-of-the-gene-diacylglycerol-o-
Publikováno v:
Journal of Statistical Software
Journal of Statistical Software, University of California, Los Angeles, 2011, 40 (14), pp.19
ResearcherID
Journal of Statistical Software, 2011, 40 (14), pp.19
Journal of Statistical Software.
Journal of Statistical Software., 2011, 40 (14), pp.19
Journal of Statistical Software; Vol 40 (2011); 1-19
Journal of Statistical Software, University of California, Los Angeles, 2011, 40 (14), pp.19
ResearcherID
Journal of Statistical Software, 2011, 40 (14), pp.19
Journal of Statistical Software.
Journal of Statistical Software., 2011, 40 (14), pp.19
Journal of Statistical Software; Vol 40 (2011); 1-19
The R package FAMT (factor analysis for multiple testing) provides a powerful method for large-scale significance testing under dependence. It is especially designed to select differentially expressed genes in microarray data when the correlation str
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42ad79b21467dfb3a9c3fb0c56e636ab
https://hal-agrocampus-ouest.archives-ouvertes.fr/hal-00730155/document
https://hal-agrocampus-ouest.archives-ouvertes.fr/hal-00730155/document