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Feature engineering of environmental covariates improves plant genomic-enabled prediction.
- Published in:
- Frontiers in Plant Science, 2024, p. 01, doi. 10.3389/fpls.2024.1349569
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- Article
Deep learning methods improve genomic prediction of wheat breeding.
- Published in:
- Frontiers in Plant Science, 2024, p. 1, doi. 10.3389/fpls.2024.1324090
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- Article
Data Augmentation Enhances Plant-Genomic-Enabled Predictions.
- Published in:
- Genes, 2024, v. 15, n. 3, p. 286, doi. 10.3390/genes15030286
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- Article
A novel method for genomic-enabled prediction of cultivars in new environments.
- Published in:
- Frontiers in Plant Science, 2023, p. 1, doi. 10.3389/fpls.2023.1218151
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- Publication type:
- Article
A novel method for genomic-enabled prediction of cultivars in new environments.
- Published in:
- Frontiers in Plant Science, 2023, p. 1, doi. 10.3389/fpls.2023.1218151
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- Publication type:
- Article
Bayesian discrete lognormal regression model for genomic prediction.
- Published in:
- Theoretical & Applied Genetics, 2024, v. 137, n. 1, p. 1, doi. 10.1007/s00122-023-04526-4
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- Article
Exploring the Relationship between Career Satisfaction and University Learning Using Data Science Models.
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- Informatics, 2024, v. 11, n. 1, p. 6, doi. 10.3390/informatics11010006
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- Article
Analysis of Soft Skills and Job Level with Data Science: A Case for Graduates of a Private University.
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- Informatics, 2023, v. 10, n. 1, p. 23, doi. 10.3390/informatics10010023
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- Article