Application of multiple shrinkage methods to genomic predictions1

Bias in genomic predictions for populations under selection

(2011) Z. G. VITEZICA et al.   Genetics Research

L2-Boosting algorithm applied to high-dimensional problems in genomic selection

(2010) OSCAR GONZÁLEZ-RECIO et al.   Genetics Research

Hot topic: A unified approach to utilize phenotypic, full pedigree, and genomic information for genetic evaluation of Holstein final score1

(2010) I. Aguilar et al.   JOURNAL OF DAIRY SCIENCE

QMSim: a large-scale genome simulator for livestock

(2009) M. Sargolzaei et al.   BIOINFORMATICS

Bayesian Semiparametric Multiple Shrinkage

(2009) Richard F. MacLehose et al.   BIOMETRICS

High-resolution haplotype block structure in the cattle genome

(2009) Rafael Villa-Angulo et al.   BMC GENETICS

Predicting Quantitative Traits With Regression Models for Dense Molecular Markers and Pedigree

(2009) G. de los Campos et al.   GENETICS

Predictive ability of direct genomic values for lifetime net merit of Holstein sires using selected subsets of single nucleotide polymorphism markers

(2009) K.A. Weigel et al.   JOURNAL OF DAIRY SCIENCE

Distribution and location of genetic effects for dairy traits

(2009) J.B. Cole et al.   JOURNAL OF DAIRY SCIENCE

Genomic selection using different marker types and densities

(2008) T. R. Solberg et al.   JOURNAL OF ANIMAL SCIENCE

Efficient Methods to Compute Genomic Predictions

(2008) P.M. VanRaden   JOURNAL OF DAIRY SCIENCE

Invited Review: Reliability of genomic predictions for North American Holstein bulls

(2008) P.M. VanRaden et al.   JOURNAL OF DAIRY SCIENCE

The Bayesian Lasso

(2008) Trevor Park et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION