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STGS (version 0.1.0)

Genomic Selection using Single Trait

Description

Genomic Selection (GS) is a latest development in animal and plant breeding where whole genome markers information is used to predict genetic merit of an individuals in a practical breeding programme. GS is one of the promising tool for improving genetic gain in animal and plants in today<80><99>s scenario. This package is basically developed for genomic predictions by estimating marker effects. These marker effects further used for calculation of genotypic merit of individual i.e. genome estimated breeding values (GEBVs). Genomic selection may be based on single trait or multi traits information. This package performs genomic selection only for single traits hence named as STGS i.e. single trait genomic selection. STGS is a comprehensive package which gives single step solution for genomic selection based on most commonly used statistical methods.

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Version

Install

install.packages('STGS')

Monthly Downloads

20

Version

0.1.0

License

GPL-3

Maintainer

Neeraj Budhlakoti

Last Published

October 24th, 2019

Functions in STGS (0.1.0)

STGS.rr

Genomic Selection using Ridge Regression (RR)
STGS.lasso

Genomic Selection using Least Absolute Shrinkage and Selection Operator (LASSO)
STGS.blup

Genomic Selection using Best Linear Unbiased Prediction (BLUP).
wheat_data

Genotyping and phenotypic dataset for wheat
STGS.svm

Genomic Selection using Support Vector Machine (SVM)
STGS.rf

Genomic Selection using Random Forest
STGS.ann

Genomic Selection using Artificial Neural Networks(ANN)