Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Multiple co-inertia analysis"'
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-13 (2024)
Abstract Background Unsupervised clustering and outlier detection are important in medical research to understand the distributional composition of a collective of patients. A number of clustering methods exist, also for high-dimensional data after d
Externí odkaz:
https://doaj.org/article/94744ab41ff743dea2b791fe63a3c123
Akademický článek
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Autor:
Eun Jeong Min, Qi Long
Publikováno v:
BMC Bioinformatics, Vol 21, Iss 1, Pp 1-12 (2020)
Abstract Background Multiple co-inertia analysis (mCIA) is a multivariate analysis method that can assess relationships and trends in multiple datasets. Recently it has been used for integrative analysis of multiple high-dimensional -omics datasets.
Externí odkaz:
https://doaj.org/article/7a50861ace424765acf8b623d6e6ae4f
Publikováno v:
67. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e. V. (GMDS), 13. Jahreskongress der Technologie-und Methodenplattform für die vernetzte medizinische Forschung e.V. (TMF); 20220821-20220825; sine loco [digital]; DOCAbstr. 118 /20220819/
Introduction: The development and improvement of segmentation algorithms for computer tomography (CT) scans to isolate single organs is of great interest in medical research. However, little work has been done on efficiently analyzing segmented organ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::83686b740fd1c597b609981d5a2dfcc3
Publikováno v:
Genetics Selection Evolution, Vol 39, Iss 5, Pp 545-567 (2007)
Abstract Working with weakly congruent markers means that consensus genetic structuring of populations requires methods explicitly devoted to this purpose. The method, which is presented here, belongs to the multivariate analyses. This method consist
Externí odkaz:
https://doaj.org/article/6868e86990864009b5f809b49f09c265
Autor:
Qi Long, Eun Jeong Min
Publikováno v:
BMC Bioinformatics, Vol 21, Iss 1, Pp 1-12 (2020)
BMC Bioinformatics
BMC Bioinformatics
Background Multiple co-inertia analysis (mCIA) is a multivariate analysis method that can assess relationships and trends in multiple datasets. Recently it has been used for integrative analysis of multiple high-dimensional -omics datasets. However,
Akademický článek
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Autor:
Laurent Rosso, Raphael Tisiot, Nadia Bertin, Brigitte Navez, Mohamed Hanafi, Mireille Faurobert, Gérard Mazerolles, Rémy Aurand
Publikováno v:
Acta Horticulturae
Acta Horticulturae, International Society for Horticultural Science, 2015, 1099, pp.827-834. ⟨10.17660/ActaHortic.2015.1099.105⟩
Acta Horticulturae, International Society for Horticultural Science, 2015, 1099, pp.827-834. ⟨10.17660/ActaHortic.2015.1099.105⟩
Tomato fruit texture is one of the most critical quality traits for both the consumer and the production chain. Texture is a complex trait for which several QTL and genes were found. However, interactions between the molecular, histological, physical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e715cb8d84c9744fe7cef20b5ae4c411
https://hal.archives-ouvertes.fr/hal-01543476
https://hal.archives-ouvertes.fr/hal-01543476
Publikováno v:
Genetics Selection Evolution
Genetics Selection Evolution, BioMed Central, 2007, 39 (5), pp.545-567
Genetics, Selection, Evolution : GSE
Genetics Selection Evolution (39), 545-567. (2007)
Genetics Selection Evolution, 2007, 39, pp.545-567
Genetics Selection Evolution, BioMed Central, 2007, 39, pp.545-567
Genetics Selection Evolution, Vol 39, Iss 5, Pp 545-567 (2007)
Genetics Selection Evolution, BioMed Central, 2007, 39 (5), pp.545-567
Genetics, Selection, Evolution : GSE
Genetics Selection Evolution (39), 545-567. (2007)
Genetics Selection Evolution, 2007, 39, pp.545-567
Genetics Selection Evolution, BioMed Central, 2007, 39, pp.545-567
Genetics Selection Evolution, Vol 39, Iss 5, Pp 545-567 (2007)
Working with weakly congruent markers means that consensus genetic structuring of populations requires methods explicitly devoted to this purpose. The method, which is presented here, belongs to the multivariate analyses. This method consists of diff
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f9f4c0df476e8811ba05d8cd275fb221
https://hal.archives-ouvertes.fr/hal-00894598
https://hal.archives-ouvertes.fr/hal-00894598
Autor:
Aurand, Rémy
La texture du fruit, caractère complexe de qualité, est un critère majeur pour le consommateur mais aussi pour la filière. Au cours de cette thèse, la texture a été analysée par une approche globale et intégrative combinant des approches éc
Externí odkaz:
http://www.theses.fr/2013AVIG0648/document