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Gray Prediction
Prediction is a kind of activity that makes use of the knowledge and means that people have already mastered to predict and judge the future...
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Protein Sorting Prediction
Many computational methods are available for predicting protein sorting in bacteria. When comparing them, it is important to know that they can be...
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Metabolomic-genomic prediction can improve prediction accuracy of breeding values for malting quality traits in barley
BackgroundMetabolomics measures an intermediate stage between genotype and phenotype, and may therefore be useful for breeding. Our objectives were...
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Genomic Prediction of Complex Traits Methods and Protocols
This volume explores the conceptual framework and the practical issues related to genomic prediction of complex traits in human medicine and in...
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A quantitative model reveals a frequency ordering of prediction and prediction-error signals in the human brain
The human brain is proposed to harbor a hierarchical predictive coding neuronal network underlying perception, cognition, and action. In support of...
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Accuracy of genomic prediction using multiple Atlantic salmon populations
BackgroundThe accuracy of genomic prediction is partly determined by the size of the reference population. In Atlantic salmon breeding programs, four...
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A transformer model for cause-specific hazard prediction
BackgroudModelling discrete-time cause-specific hazards in the presence of competing events and non-proportional hazards is a challenging task in...
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Interest of phenomic prediction as an alternative to genomic prediction in grapevine
BackgroundPhenomic prediction has been defined as an alternative to genomic prediction by using spectra instead of molecular markers. A reflectance...
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Accurate prediction of protein–nucleic acid complexes using RoseTTAFoldNA
Protein–RNA and protein–DNA complexes play critical roles in biology. Despite considerable recent advances in protein structure prediction, the...
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Enhancing winter wheat prediction with genomics, phenomics and environmental data
In the realm of multi-environment prediction, when the goal is to predict a complete environment using the others as a training set, the efficiency...
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Metabolomic prediction of severe maternal and newborn complications in preeclampsia
IntroductionPreeclampsia (PreE) remains a major source of maternal and newborn complications. Prenatal prediction of these complications could...
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Freeprotmap: waiting-free prediction method for protein distance map
BackgroundProtein residue–residue distance maps are used for remote homology detection, protein information estimation, and protein structure...
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Multi-label classification with XGBoost for metabolic pathway prediction
BackgroundMetabolic pathway prediction is one possible approach to address the problem in system biology of reconstructing an organism’s metabolic...
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RNA contact prediction by data efficient deep learning
On the path to full understanding of the structure-function relationship or even design of RNA, structure prediction would offer an intriguing...
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Improving genetic risk prediction across diverse population by disentangling ancestry representations
Risk prediction models using genetic data have seen increasing traction in genomics. However, most of the polygenic risk models were developed using...
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Statistical sampling of missing environmental variables improves biophysical genomic prediction in wheat
Key messageThe integration of genomic prediction with crop growth models enabled the estimation of missing environmental variables which improved the...
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Improving Protein Content Prediction in Wheat Grain
AbstractThe paper reports a study conducted with the goal of expanding the possibilities of using the previously obtained multiple nonlinear...
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Enhancing alphafold-multimer-based protein complex structure prediction with MULTICOM in CASP15
To enhance the AlphaFold-Multimer-based protein complex structure prediction, we developed a quaternary structure prediction system (MULTICOM) to...
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Importance of genetic architecture in marker selection decisions for genomic prediction
Key messageWe demonstrate potential for improved multi-environment genomic prediction accuracy using structural variant markers. However, the degree...
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Multi-omics assists genomic prediction of maize yield with machine learning approaches
With the improvement of high-throughput technologies in recent years, large multi-dimensional plant omics data have been produced, and...
