Deep polygenic neural network for predicting and identifying yield-associated genes in indonesian rice accessions

HIGHLIGHTS

• who: Nicholas Dominic from the School Nusantara University have published the research: Deep polygenic neural network for predicting and identifying yield-associated genes in Indonesian rice accessions, in the Journal: Scientific Reports Scientific Reports of 17/Nov/2021
• what: In this study, a novel deep polygenic neural_network named the NucleoNet model was constructed to accurately predict and identify important yield-associated SNPs in Indonesian rice accessions while controlling two major covariates, i.e., location and variety of the samples.
• how: The authors designed NucleoNets as the first Artificial_Intelligence (AI) based predictive model for . . .
  

   

  

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