WeightNameValue
1000 Titel
  • Analysis of the real EADGENE data set: Multivariate approaches and post analysis (Open Access publication)
1000 Autor/in
  1. Sørensen, Peter |
  2. Bonnet, Agnès |
  3. Buitenhuis, Bart |
  4. Closset, Rodrigue |
  5. Déjean, Sébastien |
  6. Delmas, Céline |
  7. Duval, Mylène |
  8. Glass, Liz |
  9. Hedegaard, Jakob |
  10. Hornshøj, Henrik |
  11. Hulsegge, Ina |
  12. Jaffrézic, Florence |
  13. Jensen, Kirsty |
  14. Jiang, Li |
  15. de Koning, Dirk-Jan |
  16. Cao, Kim-Anh Lê |
  17. Nie, Haisheng |
  18. Petzl, Wolfram |
  19. Pool, Marco H. |
  20. Robert-Granié, Christèle |
  21. San Cristobal, Magali |
  22. Lund, Mogens Sandø |
  23. van Schothorst, Evert M. |
  24. Schuberth, Hans-Joachim |
  25. Seyfert, Hans-Martin |
  26. Tosser-Klopp, Gwenola |
  27. Waddington, David |
  28. Watson, Michael |
  29. Yang, Wei |
  30. Zerbe, Holm |
1000 Erscheinungsjahr 2007
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2007-12-06
1000 Erschienen in
1000 Quellenangabe
  • 39: 651
1000 FRL-Sammlung
1000 Verlagsversion
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2682812/ |
  • https://doi.org/10.1186/1297-9686-39-6-651 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • The aim of this paper was to describe, and when possible compare, the multivariate methods used by the participants in the EADGENE WP1.4 workshop. The first approach was for class discovery and class prediction using evidence from the data at hand. Several teams used hierarchical clustering (HC) or principal component analysis (PCA) to identify groups of differentially expressed genes with a similar expression pattern over time points and infective agent (E. coli or S. aureus). The main result from these analyses was that HC and PCA were able to separate tissue samples taken at 24 h following E. coli infection from the other samples. The second approach identified groups of differentially co-expressed genes, by identifying clusters of genes highly correlated when animals were infected with E. coli but not correlated more than expected by chance when the infective pathogen was S. aureus. The third approach looked at differential expression of predefined gene sets. Gene sets were defined based on information retrieved from biological databases such as Gene Ontology. Based on these annotation sources the teams used either the GlobalTest or the Fisher exact test to identify differentially expressed gene sets. The main result from these analyses was that gene sets involved in immune defence responses were differentially expressed.
1000 Sacherschließung
lokal bovine annotation
lokal multivariate approaches
lokal mastitis
lokal bovine microarray
lokal gene set analysis
1000 Fachgruppe
  1. Biologie |
  2. Agrarwissenschaften |
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
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1000 Förderer
  1. European Union |
1000 Fördernummer
  1. FOOD-CT-2004-506416
1000 Förderprogramm
  1. EADGENE
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer European Union |
    1000 Förderprogramm EADGENE
    1000 Fördernummer FOOD-CT-2004-506416
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6406322.rdf
1000 Erstellt am 2018-01-15T15:42:46.149+0100
1000 Erstellt von 218
1000 beschreibt frl:6406322
1000 Bearbeitet von 218
1000 Zuletzt bearbeitet Thu Sep 27 13:42:29 CEST 2018
1000 Objekt bearb. Thu Sep 27 13:42:29 CEST 2018
1000 Vgl. frl:6406322
1000 Oai Id
  1. oai:frl.publisso.de:frl:6406322 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

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