A review of Bayesian variable selection methods: what, how and which
RB O'hara, MJ Sillanpää - 2009 - projecteuclid.org
A Review of Bayesian Variable Selection Methods: What, How and Which Page 1 Bayesian
Analysis (2009) 4, Number 1, pp. 85–118 A Review of Bayesian Variable Selection Methods …
Analysis (2009) 4, Number 1, pp. 85–118 A Review of Bayesian Variable Selection Methods …
Overview of LASSO-related penalized regression methods for quantitative trait mapping and genomic selection
Z Li, MJ Sillanpää - Theoretical and applied genetics, 2012 - Springer
Quantitative trait loci (QTL)/association mapping aims at finding genomic loci associated
with the phenotypes, whereas genomic selection focuses on breeding value prediction …
with the phenotypes, whereas genomic selection focuses on breeding value prediction …
R/qtl2: software for mapping quantitative trait loci with high-dimensional data and multiparent populations
R/qtl2 is an interactive software environment for mapping quantitative trait loci (QTL) in
experimental populations. The R/qtl2 software expands the scope of the widely-used R/qtl …
experimental populations. The R/qtl2 software expands the scope of the widely-used R/qtl …
Extended Bayesian information criteria for model selection with large model spaces
J Chen, Z Chen - Biometrika, 2008 - academic.oup.com
The ordinary Bayesian information criterion is too liberal for model selection when the model
space is large. In this paper, we re-examine the Bayesian paradigm for model selection and …
space is large. In this paper, we re-examine the Bayesian paradigm for model selection and …
Genomic selection for crop improvement
Despite important strides in marker technologies, the use of marker‐assisted selection has
stagnated for the improvement of quantitative traits. Biparental mating designs for the …
stagnated for the improvement of quantitative traits. Biparental mating designs for the …
[图书][B] A Guide to QTL Mapping with R/qtl
QTL are quantitative trait loci: genetic loci that contribute to variation in a quantitative trait.
QTL mapping is the effort to identify QTL through an experimental cross. In this book, we …
QTL mapping is the effort to identify QTL through an experimental cross. In this book, we …
Genetic design and statistical power of nested association mapping in maize
We investigated the genetic and statistical properties of the nested association mapping
(NAM) design currently being implemented in maize (26 diverse founders and 5000 distinct …
(NAM) design currently being implemented in maize (26 diverse founders and 5000 distinct …
[图书][B] Linear and generalized linear mixed models and their applications
J Jiang, T Nguyen - 2007 - Springer
It has been an amazing time since the publication of the first edition, with vast changes
taking place in the fields of mixed effects models and their applications. At the time when the …
taking place in the fields of mixed effects models and their applications. At the time when the …
A modified algorithm for the improvement of composite interval mapping
Composite interval mapping (CIM) is the most commonly used method for mapping
quantitative trait loci (QTL) with populations derived from biparental crosses. However, the …
quantitative trait loci (QTL) with populations derived from biparental crosses. However, the …
Genome-wide genetic association of complex traits in heterogeneous stock mice
Difficulties in fine-mapping quantitative trait loci (QTLs) are a major impediment to progress
in the molecular dissection of complex traits in mice. Here we show that genome-wide high …
in the molecular dissection of complex traits in mice. Here we show that genome-wide high …