Publications

Found 49 results
Filters: Author is San Cristobal, M.  [Clear All Filters]
2009
Hedegaard J, Arce C, Bicciato S, et al. Methods for interpreting lists of affected genes obtained in a DNA microarray experiment. BMC Proc. 2009;3 Suppl 4:S5.
Bonnet A, Lagarrigue S, Liaubet L, Robert-Granié C, San Cristobal M, Tosser-Klopp G. Pathway results from the chicken data set using GOTM, Pathway Studio and Ingenuity softwares. BMC Proceedings. 2009;3, S4:{Non paginé.
Bonnet A, Lagarrigue S, Liaubet L, Robert-Granié C, San Cristobal M, Tosser-Klopp G. Pathway results from the chicken data set using GOTM, Pathway Studio and Ingenuity softwares. BMC Proc. 2009;3 Suppl 4:S11. doi:10.1186/1753-6561-3-S4-S11.
Tosser-Klopp G, Le Cao KA, Bonnet A, et al. A pilot study on transcriptome data analysis of folliculogenesis in pigs. animal. 2009;3:393-401.
Tosser-Klopp G, Cao K-ALê, Bonnet A, et al. A pilot study on transcriptome data analysis of folliculogenesis in pigs. Animal. 2009;3(3):393-401. doi:10.1017/S1751731108003479.
Tosser-Klopp G, Le Cao K-A, Bonnet A, et al. A pilot study on transcriptome data analysis of folliculogenesis in pigs. Animal. 2009;3:393–401.
Robert-Granié C, Le Cao K-A, San Cristobal M. Predicting qualitative phenotypes from microarray data - the Eadgene pig data set. BMC Proceedings. 2009;3, online:{Non paginé.
Jouffe V, Rowe S, Liaubet L, et al. Using microarrays to identify positional candidate genes for QTL: the case study of ACTH response in pigs. BMC Proc. 2009;3 Suppl 4:S14. doi:10.1186/1753-6561-3-S4-S14.
Nikolic N, Park YS, San Cristobal M, Lek S, Chevalet C. What do artificial neural networks tell us about the genetic structure of populations? {T}he example of {E}uropean pig populations. Genet Res (Camb). 2009;91:121-32. Available at: http://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?cmd=prlinks&dbfrom=pubmed&retmode=ref&id=19393128.

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