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Bayesian recursive mixed linear model for gene expression analyses with continuous covariates

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Bayesian recursive mixed linear model for gene expression analyses with continuous covariates

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Casellas, J.; Ibáñez-Escriche, N. (2012). Bayesian recursive mixed linear model for gene expression analyses with continuous covariates. Journal of Animal Science. 90(1):67-75. https://doi.org/10.2527/jas.2010-3750

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Title: Bayesian recursive mixed linear model for gene expression analyses with continuous covariates
Author: Casellas, J. Ibáñez-Escriche, Noelia
UPV Unit: Universitat Politècnica de València. Departamento de Ciencia Animal - Departament de Ciència Animal
Issued date:
Abstract:
[EN] The analysis of microarray gene expression data has experienced a remarkable growth in scientific research over the last few years and is helping to decipher the genetic background of several productive traits. ...[+]
Subjects: Bayesian inference , Gene expression , Microarray , Mixed model , Recursive
Copyrigths: Cerrado
Source:
Journal of Animal Science. (issn: 0021-8812 )
DOI: 10.2527/jas.2010-3750
Publisher:
American Society of Animal Science
Publisher version: https://doi.org/10.2527/jas.2010-3750
Thanks:
This research was funded by grant AGL2008-04818-C03 (Ministerio de Ciencia e Innovacion, Madrid, Spain). The research contract of J. Casellas was partially financed by the Ministerio de Ciencia e Innovacion of Spain (program ...[+]
Type: Artículo

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