AIMC Topic: Computational Biology
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A miRNA-disease association prediction model based on tree-path global feature extraction and fully connected artificial neural network with multi-head self-attention mechanism.
BMC cancer
Jun 5, 2024
BACKGROUND: MicroRNAs (miRNAs) emerge in various organisms, ranging from viruses to humans, and play crucial regulatory roles within cells, participating in a variety of biological processes. In numerous prediction methods for miRNA-disease associati...
Functional Neural Networks for High-Dimensional Genetic Data Analysis.
IEEE/ACM transactions on computational biology and bioinformatics
Jun 5, 2024
Artificial intelligence (AI) is a thriving research field with many successful applications in areas such as computer vision and speech recognition. Machine learning methods, such as artificial neural networks (ANN), play a central role in modern AI ...
TSVM: Transfer Support Vector Machine for Predicting MPRA Validated Regulatory Variants.
IEEE/ACM transactions on computational biology and bioinformatics
Jun 5, 2024
Genome-wide association studies have shown that common genetic variants associated with complex diseases are mostly located in non-coding regions, which may not be causal. In addition, the limited number of validated non-coding functional variants ma...
PPRTGI: A Personalized PageRank Graph Neural Network for TF-Target Gene Interaction Detection.
IEEE/ACM transactions on computational biology and bioinformatics
Jun 5, 2024
Transcription factors (TFs) regulation is required for the vast majority of biological processes in living organisms. Some diseases may be caused by improper transcriptional regulation. Identifying the target genes of TFs is thus critical for underst...
MAHyNet: Parallel Hybrid Network for RNA-Protein Binding Sites Prediction Based on Multi-Head Attention and Expectation Pooling.
IEEE/ACM transactions on computational biology and bioinformatics
Jun 5, 2024
RNA-binding proteins (RBPs) can regulate biological functions by interacting with specific RNAs, and play an important role in many life activities. Therefore, the rapid identification of RNA-protein binding sites is crucial for functional annotation...
A Survey of Deep Learning for Detecting miRNA- Disease Associations: Databases, Computational Methods, Challenges, and Future Directions.
IEEE/ACM transactions on computational biology and bioinformatics
Jun 5, 2024
MicroRNAs (miRNAs) are an important class of non-coding RNAs that play an essential role in the occurrence and development of various diseases. Identifying the potential miRNA-disease associations (MDAs) can be beneficial in understanding disease pat...
Machine learning and related approaches in transcriptomics.
Biochemical and biophysical research communications
Jun 4, 2024
Data acquisition for transcriptomic studies used to be the bottleneck in the transcriptomic analytical pipeline. However, recent developments in transcriptome profiling technologies have increased researchers' ability to obtain data, resulting in a s...
An efficient hybrid deep learning architecture for predicting short antimicrobial peptides.
Proteomics
Jun 4, 2024
Short-length antimicrobial peptides (AMPs) have been demonstrated to have intensified antimicrobial activities against a wide spectrum of microbes. Therefore, exploration of novel and promising short AMPs is highly essential in developing various typ...
HeteroTCR: A heterogeneous graph neural network-based method for predicting peptide-TCR interaction.
Communications biology
Jun 4, 2024
Identifying interactions between T-cell receptors (TCRs) and immunogenic peptides holds profound implications across diverse research domains and clinical scenarios. Unsupervised clustering models (UCMs) cannot predict peptide-TCR binding directly, w...
Thrombomodulin as a potential diagnostic marker of acute myocardial infarction and correlation with immune infiltration: Comprehensive analysis based on multiple machine learning.
Transplant immunology
Jun 3, 2024
BACKGROUND: Acute myocardial infarction (AMI) is a global health problem with high mortality. Early diagnosis can prevent the development of AMI and provide valuable information for subsequent treatment. Angiogenesis has been shown to be a critical f...
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