nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
An Integrated Approach to Empirical Bayesian Whole Genome Prediction Modeling
|
Chen, C. |
|
2015 |
20 |
4 |
p. 491-511 |
artikel |
2 |
A Semi-parametric Bayesian Approach for Differential Expression Analysis of RNA-seq Data
|
Liu, Fangfang |
|
2015 |
20 |
4 |
p. 555-576 |
artikel |
3 |
Detecting Differentially Expressed Genes with RNA-seq Data Using Backward Selection to Account for the Effects of Relevant Covariates
|
Nguyen, Yet |
|
2015 |
20 |
4 |
p. 577-597 |
artikel |
4 |
Empirical Bayes Analysis of RNA-seq Data for Detection of Gene Expression Heterosis
|
Niemi, Jarad |
|
2015 |
20 |
4 |
p. 614-628 |
artikel |
5 |
Genomic Prediction Models for Count Data
|
Montesinos-López, Osval A. |
|
2015 |
20 |
4 |
p. 533-554 |
artikel |
6 |
Guest Editors’ Introduction to the Special Issue on “Statistical Genomics and Transcriptomics in Agriculture”
|
Nettleton, Dan |
|
2015 |
20 |
4 |
p. 439-441 |
artikel |
7 |
Hierarchical Modeling and Differential Expression Analysis for RNA-seq Experiments with Inbred and Hybrid Genotypes
|
Lithio, Andrew |
|
2015 |
20 |
4 |
p. 598-613 |
artikel |
8 |
Incorporating Genetic Heterogeneity in Whole-Genome Regressions Using Interactions
|
Campos, Gustavo de los |
|
2015 |
20 |
4 |
p. 467-490 |
artikel |
9 |
Selection of the Bandwidth Parameter in a Bayesian Kernel Regression Model for Genomic-Enabled Prediction
|
Pérez-Elizalde, Sergio |
|
2015 |
20 |
4 |
p. 512-532 |
artikel |
10 |
Statistical and Computational Challenges in Whole Genome Prediction and Genome-Wide Association Analyses for Plant and Animal Breeding
|
Tempelman, Robert J. |
|
2015 |
20 |
4 |
p. 442-466 |
artikel |