Results overview: Found 2 records in 0.03 seconds.
Articles, 2 records found
Articles 2 records found  
1.
19 p, 2.0 MB A guide for using deep learning for complex trait genomic prediction / Pérez-Enciso, Miguel (Centre de Recerca en Agrigenòmica) ; Zingaretti, Laura M. (Centre de Recerca en Agrigenòmica)
Deep learning (DL) has emerged as a powerful tool to make accurate predictions from complex data such as image, text, or video. However, its ability to predict phenotypic values from molecular data is less well studied. [...]
2019 - 10.3390/genes10070553
Genes, Vol. 10, Issue 7 (July 2019) , art. 553  
2.
8 p, 1.0 MB pSBVB : A versatile simulation tool to evaluate genomic selection in polyploid species / Zingaretti, Laura M. (Centre de Recerca en Agrigenòmica) ; Monfort Vives, Amparo (Centre de Recerca en Agrigenòmica) ; Pérez-Enciso, Miguel (Centre de Recerca en Agrigenòmica)
Genomic Selection (GS) is the procedure whereby molecular information is used to predict complex phenotypes and it is standard in many animal and plant breeding schemes. However, only a small number of studies have been reported in horticultural crops, and in polyploid species in particular. [...]
2019 - 10.1534/g3.118.200942
G3: genes, genomes, genetics, Vol. 9, Issue 2 (February 2019) , p. 327-334  

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