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Technical note: an R package for fitting sparse neural networks with application in animal breeding.

Journal of animal science - 4 May 2018

Wang Yangfan, Mi Xue, Rosa Guilherme J M, Chen Zhihui, Lin Ping, Wang Shi, Bao Zhenmin

Abstract excerpt

Neural networks (NNs) have emerged as a new tool for genomic selection (GS) in animal breeding. However, the properties of NN used in GS for the prediction of phenotypic outcomes are not well characterized due to the problem of over-parameterization of NN and difficulties in using whole-genome marker sets as high-dimensional NN input. In this note, we have developed an R package called snnR that finds an optimal...

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PMID: 29529218
DOI: 10.1093/jas/sky071
PMCID: PMC6140926

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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