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snnR (version 1.0)

Sparse Neural Networks for Genomic Selection in Animal Breeding

Description

Solve the problem of over-parameterization in neural networks for genomic selection. Daniel Gianola, Hayrettin OkutEmail, Kent A Weigel and Guilherme JM Rosa (2011) .

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Version

Install

install.packages('snnR')

Monthly Downloads

2

Version

1.0

License

GPL-2

Maintainer

Yangfan Wang

Last Published

November 12th, 2017

Functions in snnR (1.0)

pheno

Phenotypic information for Jersey
predict.snnR

predict.snnR
SimData

SimData
initw

Initialize weights and biases of a neural network.
snnR_extended

snnR_extended
subgradient

subgradient
D

Genomic dominant relationship matrix for the Jersey dataset.
G

Genomic additive relationship matrix for the Jersey dataset.
un_normalize

un_normalize
write.NeuralNetTools

Prepare data for NeuralNetTools
normalize

normalize
optimization_L1

optimization_L1
predict.snnR_extended

predict.snnR_extended
print.snnR

Print an snnR object
orthantProject

orthantProject
partitions

Partitions for cross validation (CV)
print.snnR_extended

Print an snnR_extended object
snnR

snnR