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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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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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Comparative Study of Single-stranded Oligonucleotides Secondary Structure Prediction Tools
BackgroundSingle-stranded nucleic acids (ssNAs) have important biological roles and a high biotechnological potential linked to their ability to bind...
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Opportunities and limits of combining microbiome and genome data for complex trait prediction
BackgroundAnalysis and prediction of complex traits using microbiome data combined with host genomic information is a topic of utmost interest....
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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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Protein function prediction through multi-view multi-label latent tensor reconstruction
BackgroundIn last two decades, the use of high-throughput sequencing technologies has accelerated the pace of discovery of proteins. However, due to...
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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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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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Plasma membrane damage limits replicative lifespan in yeast and induces premature senescence in human fibroblasts
Plasma membrane damage (PMD) occurs in all cell types due to environmental perturbation and cell-autonomous activities. However, cellular outcomes of...
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Drug-target binding affinity prediction using message passing neural network and self supervised learning
BackgroundDrug-target binding affinity (DTA) prediction is important for the rapid development of drug discovery. Compared to traditional methods,...
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HormoNet: a deep learning approach for hormone-drug interaction prediction
Several experimental evidences have shown that the human endogenous hormones can interact with drugs in many ways and affect drug efficacy. The...
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Quantitative systems-based prediction of antimicrobial resistance evolution
Predicting evolution is a fundamental problem in biology with practical implications for treating antimicrobial resistance, which is a complex...
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SubMDTA: drug target affinity prediction based on substructure extraction and multi-scale features
BackgroundDrug–target affinity (DTA) prediction is a critical step in the field of drug discovery. In recent years, deep learning-based methods have...
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MSXFGP: combining improved sparrow search algorithm with XGBoost for enhanced genomic prediction
BackgroundWith the significant reduction in the cost of high-throughput sequencing technology, genomic selection technology has been rapidly...
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Overestimated prediction using polygenic prediction derived from summary statistics
BackgroundWhen polygenic risk score (PRS) is derived from summary statistics, independence between discovery and test sets cannot be monitored. We...
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SSF-DDI: a deep learning method utilizing drug sequence and substructure features for drug–drug interaction prediction
BackgroundDrug–drug interactions (DDI) are prevalent in combination therapy, necessitating the importance of identifying and predicting potential...
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StackDPP: a stacking ensemble based DNA-binding protein prediction model
BackgroundDNA-binding proteins (DNA-BPs) are the proteins that bind and interact with DNA. DNA-BPs regulate and affect numerous biological processes,...
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Cancer survival prediction by learning comprehensive deep feature representation for multiple types of genetic data
BackgroundCancer is one of the leading death causes around the world. Accurate prediction of its survival time is significant, which can help...
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Factor analysis applied in genomic prediction considering different density marker panels in rice
The study objective was to evaluate the application of factor analysis (FA) on genomic prediction considering different density marker panels. The FA...
