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animal-breeding

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WevertonGomesCosta / Genomic-Prediction-using-Regularized-Artificial-Neural-Networks

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O objetivo do presente projeto é propor e avaliar o uso da regularização no desempenho de RNAs em modelos de predição genômica (GP). Tal estudo visa melhorar a predição de valores genéticos genômicos (GEBV), evitando o chamado o problema de ‘overfitting’, e estimação de parâmetros genéticos. Para isso, dados simulados e reais serão utilizados.

machine-learning bioinformatics deep-learning computational-biology neural-networks artificial-neural-networks regularization genomic-selection quantitative-genetics overfitting plant-breeding animal-breeding genomic-prediction gebv
  • Updated Jun 1, 2023
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WevertonGomesCosta / Prediction-of-trait-through-computational-intelligence-and-machine-learning-applied-to-improvement-o

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Using Computational Intelligence and Machine Learning methods for trait prediction in genetic improvement (plant breeding) programs.

data-science machine-learning bioinformatics genomics artificial-intelligence predictive-modeling computational-intelligence quantitative-genetics agritech phenomics plant-breeding animal-breeding genetic-improvement trait-prediction
  • Updated Dec 14, 2022
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