Leveraging biological insight and environmental variation to improve phenotypic prediction: Integrating crop growth models (CGM) with whole genome prediction …
… (2015), the results from this study support the conclusion that CGM-WGP increased prediction
accuracy over the BayesA method by incorporating biological insight into the prediction …
accuracy over the BayesA method by incorporating biological insight into the prediction …
[HTML][HTML] Deep neural network prediction of genome-wide transcriptome signatures–beyond the Black-box
… ) have the potential to identify biologically meaningful molecular representations directly from
… techniques supporting biological interpretation and insights from such predictive models. …
… techniques supporting biological interpretation and insights from such predictive models. …
[HTML][HTML] Current status and applications of genome-scale metabolic models
… targeting in pathogens, the prediction of enzyme functions, … novel biological insights beyond
those provided by genome … of predicting the organism’s various biological capabilities. As a …
those provided by genome … of predicting the organism’s various biological capabilities. As a …
Novel insights into tree biology and genome evolution as revealed through genomics
DB Neale, PJ Martínez-García… - … of Plant Biology, 2017 - annualreviews.org
… Although the number of reference genome sequences for trees lags behind those for other
plant species, it is not too early to gain insight into the unique features that distinguish trees …
plant species, it is not too early to gain insight into the unique features that distinguish trees …
Genomics of the fungal kingdom: insights into eukaryotic biology
… prediction in fungi relies heavily on de novo gene prediction. Given the significant differences
in the characteristics of exons and introns between fungi, the training of gene prediction …
in the characteristics of exons and introns between fungi, the training of gene prediction …
[HTML][HTML] Application of Bayesian genomic prediction methods to genome-wide association analyses
A Wolc, JCM Dekkers - Genetics Selection Evolution, 2022 - Springer
… is important for understanding the biology behind traits and … and increase the accuracy of
genomic prediction. However, it … and genomic information (multi-omics data) to gain insight into …
genomic prediction. However, it … and genomic information (multi-omics data) to gain insight into …
Machine learning applications in genome-scale metabolic modeling
… biological omics data with diverse purposes of prediction, classification, and discovery [2]. …
insights on biological networks and genotype–phenotype relationships from pan-genome-…
insights on biological networks and genotype–phenotype relationships from pan-genome-…
[HTML][HTML] Genomic biology
R Brent - Cell, 2000 - cell.com
… Insights from genomic biology will greatly affect medicine and agriculture. Genomics is also
changing the biological … Knowledge of genome sequence enables prediction of their mass, …
changing the biological … Knowledge of genome sequence enables prediction of their mass, …
Advance genome disorder prediction model empowered with deep learning
A major and essential issue in biomedical research is to predict genome disorder. Genome …
In past, theoretical and explanatory-based approaches were introduced to predict genome …
In past, theoretical and explanatory-based approaches were introduced to predict genome …
[HTML][HTML] KAML: improving genomic prediction accuracy of complex traits using machine learning determined parameters
… dramatically and led to genomic prediction being widely used in … mixed model and the
accurate prediction of Bayesian methods, … the advantages of prediction accuracy with computing …
accurate prediction of Bayesian methods, … the advantages of prediction accuracy with computing …
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