The plant genome. 2010;3(2):106-116. doi: 10.3835/plantgenome2010.04.0005 Q13.82025

Genomic-Enabled Prediction Based on Molecular Markers and Pedigree Using the Bayesian Linear Regression Package in R

基于分子标记和家系谱的基因组预测使用R语言中的Bayesian线性回归软件包翻译改进

Paulino Pérez¹, Gustavo de Los Campos, José Crossa, Daniel Gianola

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¹ P. Pérez, International Maize and Wheat Improvement Center (CIMMYT), Apdo. Postal 6-641, México D.F., México, and Colegio de Postgraduados, Km. 36.5 Carretera México, Texcoco, Montecillo, Estado de México, 56230, México; G. de los Campos, Section on Statistical Genetics, Biostatistics, Univ. of Alabama at Birmingham, 1665 University Blvd., Ryals Public Health Building 414, Birmingham, AL 35294; J. Crossa, International Maize and Wheat Improvement Center (CIMMYT), Apdo. Postal 6-641, México D.F., México; D. Gianola, Univ. of Wisconsin-Madison, 1675 Observatory Dr., Madison, WI 53706.

DOI: 10.3835/plantgenome2010.04.0005 PMID: 21566722

摘要 Ai翻译

The availability of dense molecular markers has made possible the use of genomic selection in plant and animal breeding. However, models for genomic selection pose several computational and statistical challenges and require specialized computer programs, not always available to the end user and not implemented in standard statistical software yet. The R-package BLR (Bayesian Linear Regression) implements several statistical procedures (e.g., Bayesian Ridg... ...点击完成人机验证后继续浏览

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期刊名：Plant genome

缩写：PLANT GENOME-US

ISSN：N/A

e-ISSN：1940-3372

IF/分区：3.8/Q1

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Genomic-Enabled Prediction Based on Molecular Markers and Pedigree Using the Bayesian Linear Regression Package in R

基于分子标记和家系谱的基因组预测使用R语言中的Bayesian线性回归软件包翻译改进

Estimating sparse gene regulatory networks using a bayesian linear regression

基于贝叶斯线性回归的稀疏基因调控网络估计方法

Bayesian linear regression and variable selection for spectroscopic calibration

用于光谱校正的贝叶斯线性回归及变量选择方法研究

Bayesian Linear Regressions Applied to Fibromyalgia Syndrome for Understanding the Complexity of This Disorder

贝叶斯线性回归在纤维肌痛综合征中的应用以了解该疾病的复杂性

An introduction to using Bayesian linear regression with clinical data

基于临床数据的bayesian线性回归介绍

Bayesian linear regression with skew-symmetric error distributions with applications to survival analysis

带有偏对称误差分布的贝叶斯线性回归及其在生存分析中的应用

Direct Bayesian linear regression for distribution-valued covariates

分布值协变量的直接贝叶斯线性回归方法

Determining passenger car equivalent (PCEs) for pretimed signalized intersections with severe motorcycle composition using Bayesian linear regression

基于贝叶斯线性回归的严重摩托车组成的定时信号交叉口PCE确定研究

Evaluation of Bayesian Linear Regression derived gene set test methods

基于贝叶斯线性回归的基因集合检测方法的评估

Genomic-Enabled Prediction Based on Molecular Markers and Pedigree Using the Bayesian Linear Regression Package in R

基于分子标记和家系谱的基因组预测使用R语言中的Bayesian线性回归软件包 翻译改进

Estimating sparse gene regulatory networks using a bayesian linear regression

基于贝叶斯线性回归的稀疏基因调控网络估计方法

Bayesian linear regression and variable selection for spectroscopic calibration

用于光谱校正的贝叶斯线性回归及变量选择方法研究

Bayesian Linear Regressions Applied to Fibromyalgia Syndrome for Understanding the Complexity of This Disorder

贝叶斯线性回归在纤维肌痛综合征中的应用以了解该疾病的复杂性

An introduction to using Bayesian linear regression with clinical data

基于临床数据的bayesian线性回归介绍

Bayesian linear regression with skew-symmetric error distributions with applications to survival analysis

带有偏对称误差分布的贝叶斯线性回归及其在生存分析中的应用

Direct Bayesian linear regression for distribution-valued covariates

分布值协变量的直接贝叶斯线性回归方法

Determining passenger car equivalent (PCEs) for pretimed signalized intersections with severe motorcycle composition using Bayesian linear regression

基于贝叶斯线性回归的严重摩托车组成的定时信号交叉口PCE确定研究

Evaluation of Bayesian Linear Regression derived gene set test methods

基于贝叶斯线性回归的基因集合检测方法的评估

基于分子标记和家系谱的基因组预测使用R语言中的Bayesian线性回归软件包翻译改进