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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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Statistically unbiased prediction enables accurate denoising of voltage imaging data
Here we report SUPPORT (statistically unbiased prediction utilizing spatiotemporal information in imaging data), a self-supervised learning method...
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Sparse Phenoty** and Haplotype-Based Models for Genomic Prediction in Rice
The multi-environment genomic selection enables plant breeders to select varieties resilient to diverse environments or particularly adapted to...
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CoDock-Ligand: combined template-based docking and CNN-based scoring in ligand binding prediction
For ligand binding prediction, it is crucial for molecular docking programs to integrate template-based modeling with a precise scoring function....
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GraphsformerCPI: Graph Transformer for Compound–Protein Interaction Prediction
Accurately predicting compound–protein interactions (CPI) is a critical task in computer-aided drug design. In recent years, the exponential growth...
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CAT-DTI: cross-attention and Transformer network with domain adaptation for drug-target interaction prediction
Accurate and efficient prediction of drug-target interaction (DTI) is critical to advance drug development and reduce the cost of drug discovery....
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TPpred-LE: therapeutic peptide function prediction based on label embedding
BackgroundTherapeutic peptides play an essential role in human physiology, treatment paradigms and bio-pharmacy. Several computational methods have...
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Neighborhood based computational approaches for the prediction of lncRNA-disease associations
MotivationLong non-coding RNAs (lncRNAs) are a class of molecules involved in important biological processes. Extensive efforts have been provided to...
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Modified Nucleotides and RNA Structure Prediction
Nucleotide modifications are occurrent in all types of RNA and play an important role in RNA structure formation and stability. Modified bases not...
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HostNet: improved sequence representation in deep neural networks for virus-host prediction
BackgroundThe escalation of viruses over the past decade has highlighted the need to determine their respective hosts, particularly for emerging ones...
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AI-Driven Prediction of Sugarcane Quality Attributes Using Satellite Imagery
Anticipating the sugar content of sugarcane crop is a crucial aspect that holds the key to develop innovative data-driven solutions for determining...
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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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GraphTar: applying word2vec and graph neural networks to miRNA target prediction
BackgroundMicroRNAs (miRNAs) are short, non-coding RNA molecules that regulate gene expression by binding to specific mRNAs, inhibiting their...
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Prediction of cognitive performance differences in older age from multimodal neuroimaging data
Differences in brain structure and functional and structural network architecture have been found to partly explain cognitive performance...
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First Genomic Prediction of Single-Step Models in Large Yellow Croaker
Genome selection is mainly used in disease-resistant traits of aquatic species; however, its implementation is hindered by a high cost of genotype...
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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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TEC-miTarget: enhancing microRNA target prediction based on deep learning of ribonucleic acid sequences
BackgroundMicroRNAs play a critical role in regulating gene expression by binding to specific target sites within gene transcripts, making the...
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Zero-shot prediction of mutation effects with multimodal deep representation learning guides protein engineering
Mutations in amino acid sequences can provoke changes in protein function. Accurate and unsupervised prediction of mutation effects is critical in...
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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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Prediction of anticancer drug sensitivity using an interpretable model guided by deep learning
BackgroundThe prediction of drug sensitivity plays a crucial role in improving the therapeutic effect of drugs. However, testing the effectiveness of...
