R Packages for GWAS and GS

rrBLUP(rrBLUPMethod6: re-parametrization of RR-BLUP to allow a fixed residual variance)

BLR(功能加强BGLR，目前不支持R 3.0版本)

synbreed(synbreedData)

randomForest

lme4：基本线性模型

genetics

QTLRel

GenABEL

snpStats(在bioconductor中)

GeneticsPed(在bioconductor中): calculation of genetic relatedness/relationship between individuals in the pedigree

SNPassoc

hglm

MCMCglmm

pedigree

pedantics

pedigreemm

multic(没有Windows版)

gwerAM

doBy：基本统计量（分组计算）

ipred：error rate estimation, a unified interface to several re-sampling based estimators.

e1071：SVM

mlr：machine learning in R

GEMMA：Genome-wide Efficient Mixed Model Association

Machine Learning & Statistical Learning

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GWAS和GS的结合：Single Step GWAS的应用
小编寄语一直以来,GWAS和GS一直是分家的,各搞各的,交叉很少.两者都是基于统计分析,GWAS重点在于找到显著性的SNP位点,找到关联性状的基因.GS的重点在于计算个体的育种值,进行排名选择. 基 ...
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R语言实现GWAS结果显著SNP位点归类提取与变异类型转化
GWAS结果显著SNP位点归类提取与变异类型转化根据GWAS得到的Rresult文件信息,能够找出每个snp位点对应的显著性情况和基因变异信息,接下来,需要根据表格中的信息进行归纳总结,对不同显著性 ...
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R Packages for GWAS and GS

Machine Learning & Statistical Learning

R Packages for GWAS and GS相关推荐

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