PNNGS, a multi-convolutional parallel neural network for genomic selection

Genomic selection (GS) can accomplish breeding faster than phenotypic selection. Improving prediction accuracy is the key to promoting GS. To improve the GS prediction accuracy and stability, we introduce parallel convolution to deep learning for GS and call it a parallel neural network for genomic...

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Hlavní autoři:	Zhengchao Xie, Lin Weng, Jingjing He, Xianzhong Feng, Xiaogang Xu, Yinxing Ma, Panpan Bai, Qihui Kong
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Frontiers Media S.A. 2024-09-01
Edice:	Frontiers in Plant Science
Témata:	deep learning parallelism genomic selection plant breeding stratified sampling
On-line přístup:	https://www.frontiersin.org/articles/10.3389/fpls.2024.1410596/full
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