qgg provides an infrastructure for efficient processing of large-scale genetic and phenotypic data including core functions for: fitting linear mixed models; construction of genomic relationship matrices; estimating genetic parameters (heritability and correlation) genomic prediction; single marker association analysis; gene set enrichment analysis

2019年12月27日 · The qgg package provides an infrastructure for analysing large-scale genotype–phenotype data, and contains a range of quantitative genetic modelling approaches for investigating the genetic basis of complex traits and diseases, including a novel prediction approach which improves the accuracy of prediction compared with commonly used methods.

Provides an infrastructure for efficient processing of large-scale genetic and phenotypic data including core functions for: 1) fitting linear mixed models, 2) constructing marker-based genomic relationship matrices, 3) estimating genetic parameters (heritability and correlation), 4) performing genomic prediction and genetic risk profiling, and ...

图像处理中的qgg步骤包括：1.采集图像：采集图像的方式可以是从数码相机中获取或者是从网络上抓取；2.图像预处理：这一步主要是对图像进行一些预处理，比如去噪、降噪等；3.图像分割：这一步主要是将图像分割成一些...

2020年4月15日 · The qgg package provides an infrastructure for efficient processing of large-scale genetic data and functions for estimating genetic parameters, and performing single and multiple marker association analyses and genomic-based predictions of phenotypes.

Provides an infrastructure for efficient processing of large-scale genetic and phenotypic data including core functions for: 1) fitting linear mixed models, 2) constructing marker-based genomic relationship matrices, 3) estimating genetic parameters (heritability and correlation), 4) performing genomic prediction and genetic risk profiling, and ...

2024年12月13日 · Provides an infrastructure for eficient processing of large-scale genetic and pheno-typic data including core functions for: 1) fitting linear mixed models, 2) constructing marker-based genomic relationship matrices, 3) estimating genetic parameters (heritability and correla-tion), 4) performing genomic prediction and genetic risk profiling, and...

qgg包提供了一系列基因组特征建模方法，包括基因组特征最佳线性无偏预测(GFBLUP)模型，使用似然或贝叶斯方法。 这些模型可以包含多种特征和多种性状，并可以使用不同的遗传模型(如加性、显性、基因间的遗传和基因间的环境相互作用)。

qgg provides an infrastructure for efficient processing of large-scale genetic and phenotypic data including core functions for: fitting linear mixed models; construction of genomic relationship matrices; estimating genetic parameters (heritability and correlation) genomic prediction; single marker association analysis; gene set enrichment analysis

qgg provides an infrastructure for efficient processing of large-scale genotype and phenotype data, including core functions for: fitting linear mixed models estimating genetic parameters (heritability and correlation)