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GSelection (version 0.1.0)

Genomic Selection

Description

Genomic selection is a specialized form of marker assisted selection. The package contains functions to select important genetic markers and predict phenotype on the basis of fitted training data using integrated model framework (Guha Majumdar et. al. (2019) ) developed by combining one additive (sparse additive models by Ravikumar et. al. (2009) ) and one non-additive (hsic lasso by Yamada et. al. (2014) ) model.

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Version

Install

install.packages('GSelection')

Monthly Downloads

148

Version

0.1.0

License

GPL-3

Maintainer

Sayanti Majumdar

Last Published

November 4th, 2019

Functions in GSelection (0.1.0)

genomic.prediction

Genomic Prediction
RED

Redundancy Rate
feature.selection

Genomic Feature Selection
hsic.var.ensemble

Error Variance Estimation in Genomic Prediction
GSelection-package

GSelection
GS

Genotypic and phenotypic simulated dataset
hsic.var.rcv

Error Variance Estimation in Genomic Prediction
spam.var.ensemble

Error Variance Estimation in Genomic Prediction
spam.var.rcv

Error Variance Estimation in Genomic Prediction