Important Notice
For more information about the EAAP Researchers' database, please browse here.
This page has been
visited
times
since since 13 Sept. 2012
Date last up-dating:
13/09/2012
Session 18. Statistical analysis of genomics data
Date: 27 August ‘07; 08:30 - 12:30 hours
Chairperson: T. Meuwissen (NO)
Theatre Session 18
- Genomic selection: a break through for application of marker
assisted selection to traits of low heritability, promise and
concerns
Muir, W.M. -
A comparison of different regression methods for
genomic-assisted prediction of genetic values in dairy cattle
Sölkner, J., B. Tier, R. Crump, G. Moser, P. Thomson and H. Raadsma -
Using partial least square regression (PLSR) and principal
component regression (PCR) in prediction of genomic selection
breeding values
Solberg, T.R., A.K. Sonesson, J.A. Woolliams and T.H.E. Meuwissen -
Validation of genomic selection in an outbred mouse population
Legarra, A., E. Manfredi, C. Robert-Granié and J.M. Elsen -
Detection of SNPs associated with chick mortality in broilers:
a machine learning approach
Long, N., D. Gianola, K.A. Weigel, G.J.M. Rosa and S. Avendano -
Use of SNP for marker assisted selection in French dairy
cattle
Guillaume, F., S. Fritz, D. Boichard and T. Druet -
Empirical and theoretical considerations on the impact of
genetic interactions on response to selection
Le Rouzic, A., P.B. Siegel and O. Carlborg -
Modelling genetic epistasis between selected candidate genes
for milk production traits in Jersey cattle
Gontarek, A., J. Komisarek and J. Szyda -
Detection and use of single gene effects in large animal
populations
Gengler, N., M. Szydlowski, S. Abras and R. Renaville -
Model comparison criteria in a global analysis of a microarray
experiment
Díaz, C., N. Moreno-Sánchez, J. Rueda, A. Reverter, Y.H. Wang and M.J. Carabaño -
A Bayesian mixed-model approach for the analysis of microarray
gene
expression data assuming skewed Student-t distributions for random effects
Casellas, J. and L. Varona
Poster Session 18
-
A differential evolution Markov chain algorithm to map
epistatic QTL
Rutten, M.J.M., M.C.A.M. Bink and C.J.F. Ter Braak -
Modelling epistasis between quantitative trait loci on swine
chromosome six
Szyda, J., M. Szydłowski and E. Grindflek -
Estimation of Quantitative Trait Loci parameters for somatic
cell score in the German Holstein dairy population
Baes, C., M. Mayer, A. Tuchscherer, F. Reinhardt and N. Reinsch -
The use of the ant colony algorithm for analysis of
high-dimension gene expression data sets
Robbins, K.R., W. Zhang, J.K. Bertrand and R. Rekaya -
Comparison of Single Nucleotide Polymorphism and
microsatellite polymorphism for QTL mapping
Schopen, G.C.B., H. Bovenhuis, M.H.P.W. Visker and J.A.M. Van Arendonk -
A method to approximate parents’ contribution to gene content
at marker locus
Szydlowski, M., N. Gengler and M.E. Goddard