AIMC Topic: Computational Biology

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DCSGMDA: A dual-channel convolutional model based on stacked deep learning collaborative gradient decomposition for predicting miRNA-disease associations.

Computational biology and chemistry Sep 4, 2024
Numerous studies have shown that microRNAs (miRNAs) play a key role in human diseases as critical biomarkers. Its abnormal expression is often accompanied by the emergence of specific diseases. Therefore, studying the relationship between miRNAs and ...
Computational Biology Neural Networks, Computer MicroRNAs Deep Learning Humans
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A Contrastive-Learning-Based Deep Neural Network for Cancer Subtyping by Integrating Multi-Omics Data.

Interdisciplinary sciences, computational life sciences Sep 4, 2024
BACKGROUND: Accurate identification of cancer subtypes is crucial for disease prognosis evaluation and personalized patient management. Recent advances in computational methods have demonstrated that multi-omics data provides valuable insights into t...
Neoplasms Deep Learning Computational Biology Multiomics Humans Neural Networks, Computer MicroRNAs DNA Methylation Cluster Analysis
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Predicting splicing patterns from the transcription factor binding sites in the promoter with deep learning.

BMC genomics Sep 3, 2024
BACKGROUND: Alternative splicing is a pivotal mechanism of post-transcriptional modification that contributes to the transcriptome plasticity and proteome diversity in metazoan cells. Although many splicing regulations around the exon/intron regions ...
Alternative Splicing Binding Sites Exons Deep Learning Computational Biology Humans Transcription Factors Promoter Regions, Genetic
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A method for miRNA diffusion association prediction using machine learning decoding of multi-level heterogeneous graph Transformer encoded representations.

Scientific reports Sep 3, 2024
MicroRNAs (miRNAs) are a key class of endogenous non-coding RNAs that play a pivotal role in regulating diseases. Accurately predicting the intricate relationships between miRNAs and diseases carries profound implications for disease diagnosis, treat...
MicroRNAs Machine Learning Algorithms Genetic Predisposition to Disease Computational Biology Humans
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Artificial Intelligence Learns Protein Prediction.

Cold Spring Harbor perspectives in biology Sep 3, 2024
From over to , the recent decade of exponential advances in artificial intelligence (AI) has been altering life. In parallel, advances in computational biology are beginning to decode the language of life: leaped forward in protein structure predi...
Artificial Intelligence Databases, Protein Computational Biology Proteins
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Selective consistency of recurrent neural networks induced by plasticity as a mechanism of unsupervised perceptual learning.

PLoS computational biology Sep 3, 2024
Understanding the mechanism by which the brain achieves relatively consistent information processing contrary to its inherent inconsistency in activity is one of the major challenges in neuroscience. Recently, it has been reported that the consistenc...
Neural Networks, Computer Brain Humans Neuronal Plasticity Models, Neurological Learning Computational Biology Nerve Net Unsupervised Machine Learning Perception
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Enhancing Missense Variant Pathogenicity Prediction with MissenseNet: Integrating Structural Insights and ShuffleNet-Based Deep Learning Techniques.

Biomolecules Sep 2, 2024
The classification of missense variant pathogenicity continues to pose significant challenges in human genetics, necessitating precise predictions of functional impacts for effective disease diagnosis and personalized treatment strategies. Traditiona...
Computational Biology Mutation, Missense Deep Learning Humans Proteins ROC Curve
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PCP-GC-LM: single-sequence-based protein contact prediction using dual graph convolutional neural network and convolutional neural network.

BMC bioinformatics Sep 2, 2024
BACKGROUND: Recently, the process of evolution information and the deep learning network has promoted the improvement of protein contact prediction methods. Nevertheless, still remain some bottleneck: (1) One of the bottlenecks is the prediction of o...
Algorithms Sequence Analysis, Protein Neural Networks, Computer Computational Biology Deep Learning Databases, Protein Proteins Protein Conformation
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Integration of GPT-4 into multimodal bioinformatics for surgical specimens.

International journal of surgery (London, England) Sep 1, 2024
Artificial Intelligence Computational Biology
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Employing a synergistic bioinformatics and machine learning framework to elucidate biomarkers associating asthma with pyrimidine metabolism genes.

Respiratory research Aug 31, 2024
BACKGROUND: Asthma, a prevalent chronic inflammatory disorder, is shaped by a multifaceted interplay between genetic susceptibilities and environmental exposures. Despite strides in deciphering its pathophysiological landscape, the intricate molecula...
Humans Asthma Biomarkers Machine Learning Pyrimidines Female Computational Biology
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