Additional file 3: Table S2. Posterior mean number of SNPs in each distribution [0, 0.0001, 0.001 or 0.01 of the pedigree estimated genetic variance], data from Kemper et al. [1]
Quantitative trait loci (QTL) mapping is one of the applications of statistics in genetics.This diss...
Background - We analyzed simulated data from the 14th QTL-MAS workshop using a Bayesian approach imp...
The identity-by-descent (IBD) based variance component analysis is an important method for mapping q...
Additional file 4: Table S3. Top 100 SNPs with the highest mean posterior probability (PP) for inclu...
Additional file 2: Figure S1. Mean power and false-discovery rate for QTL discovery in simulated dat...
Additional file 7: Table S5. Genomic prediction accuracy and bias from the univariate GBLUP model, d...
Additional file 6: Figure S2. Mean posterior probability for BayesMV and BayesR, and the âlog10(P)...
Additional file 1: Table S1. Phenotypic and genetic correlation between milk yield traits, with trai...
Additional file 5: Table S4. This file contains highly significant SNPs (P < 1 × 10−6) from the mixe...
Additional file 8: Figure S3. Genetic relationship between nine dairy and beef cattle breeds
International audienceAbstractBackgroundGenomic prediction and quantitative trait loci (QTL) mapping...
Additional file 5. Tables S1, S2, S3, S4, and S5: Posterior means of variance parameters and broad-s...
Background We analyzed simulated data from the 14th QTL-MAS workshop using a Bayesian approach imple...
Background Recent developments in genetic technology and methodology enable accurate detection of QT...
Additional file 15. Tables S7 and S8: Comparison of posterior means of variance parameters and broad...
Quantitative trait loci (QTL) mapping is one of the applications of statistics in genetics.This diss...
Background - We analyzed simulated data from the 14th QTL-MAS workshop using a Bayesian approach imp...
The identity-by-descent (IBD) based variance component analysis is an important method for mapping q...
Additional file 4: Table S3. Top 100 SNPs with the highest mean posterior probability (PP) for inclu...
Additional file 2: Figure S1. Mean power and false-discovery rate for QTL discovery in simulated dat...
Additional file 7: Table S5. Genomic prediction accuracy and bias from the univariate GBLUP model, d...
Additional file 6: Figure S2. Mean posterior probability for BayesMV and BayesR, and the âlog10(P)...
Additional file 1: Table S1. Phenotypic and genetic correlation between milk yield traits, with trai...
Additional file 5: Table S4. This file contains highly significant SNPs (P < 1 × 10−6) from the mixe...
Additional file 8: Figure S3. Genetic relationship between nine dairy and beef cattle breeds
International audienceAbstractBackgroundGenomic prediction and quantitative trait loci (QTL) mapping...
Additional file 5. Tables S1, S2, S3, S4, and S5: Posterior means of variance parameters and broad-s...
Background We analyzed simulated data from the 14th QTL-MAS workshop using a Bayesian approach imple...
Background Recent developments in genetic technology and methodology enable accurate detection of QT...
Additional file 15. Tables S7 and S8: Comparison of posterior means of variance parameters and broad...
Quantitative trait loci (QTL) mapping is one of the applications of statistics in genetics.This diss...
Background - We analyzed simulated data from the 14th QTL-MAS workshop using a Bayesian approach imp...
The identity-by-descent (IBD) based variance component analysis is an important method for mapping q...
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