AIMC Topic: Graph Neural Networks

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Integrating scRNA-seq and scATAC-seq with inter-type attention heterogeneous graph neural networks.

Briefings in bioinformatics Nov 22, 2024
Single-cell multi-omics techniques, which enable the simultaneous measurement of multiple modalities such as RNA gene expression and Assay for Transposase-Accessible Chromatin (ATAC) within individual cells, have become a powerful tool for decipherin...
RNA-Seq Gene Regulatory Networks Neural Networks, Computer Single-Cell Analysis Sequence Analysis, RNA Chromatin Immunoprecipitation Sequencing Graph Neural Networks Single-Cell Gene Expression Analysis Computational Biology Humans
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DGCL: dual-graph neural networks contrastive learning for molecular property prediction.

Briefings in bioinformatics Sep 23, 2024
In this paper, we propose DGCL, a dual-graph neural networks (GNNs)-based contrastive learning (CL) integrated with mixed molecular fingerprints (MFPs) for molecular property prediction. The DGCL-MFP method contains two stages. In the first pretraini...
Supervised Machine Learning Databases as Topic Graph Neural Networks Small Molecule Libraries ROC Curve Area Under Curve
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Detection of pre-mRNA involved in abnormal splicing using Graph Neural Network and Nearest Correlation Method.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
BACKGROUND: DNA is the building block of genetic information, and is composed of alternating sequences of exons with genetic information and introns without no genetic information. DNA is damaged by normal metabolic activities and environmental facto...
Polymorphism, Single Nucleotide RNA Splicing Humans Algorithms RNA Precursors Graph Neural Networks Neural Networks, Computer ROC Curve
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Leveraging Graph Neural Networks for MIC Prediction in Antimicrobial Resistance Studies.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Antimicrobial resistance (AMR) poses a significant challenge in healthcare and public health, with organisms such as nontyphoidal Salmonella leading the way due to their escalating resistance to antimicrobial agents. This situation severely complicat...
Machine Learning Algorithms Humans Neural Networks, Computer Microbial Sensitivity Tests Anti-Bacterial Agents Graph Neural Networks Drug Resistance, Bacterial
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Novel Alzheimer's Disease Stating Based on Comorbidities-Informed Graph Neural Networks.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Alzheimer's Disease (AD), the most prevalent form of dementia, requires early prediction for timely intervention. Leveraging data from the Alzheimer's Disease Neuroimaging Initiative (ADNI), our study employs Graph Neural Networks (GNNs) for multi-cl...
Male Comorbidity Alzheimer Disease Neuroimaging Cognitive Dysfunction Female Aged Neural Networks, Computer Algorithms Humans Graph Neural Networks
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Decoding Visual Perception from EEG Using Explainable Graph Neural Network.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Brain decoding is an emerging area in the fields of neuroscience and machine learning. The goal of decoding is to utilize measured brain activity to understand the thoughts or sensations of individuals. In the fields of computer vision and machine le...
Graph Neural Networks Algorithms Brain Signal Processing, Computer-Assisted Visual Perception Electroencephalography Neural Networks, Computer Machine Learning Humans
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A Graph Neural Network Model for Real-Time Gesture Recognition Based on sEMG Signals.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
For seemless control of advanced hand prostheses and augmented reality, accurate and immediate hand gestures recognition is essential. Surface electromyography (sEMG) signals obtained from the forearm are commonly employed for this purpose. In this p...
Forearm Graph Neural Networks Electromyography Pattern Recognition, Automated Algorithms Male Signal Processing, Computer-Assisted Hand Gestures Neural Networks, Computer Machine Learning Humans
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Multi-task Learning Graph Neural Networks for Cancer Prognosis Prediction with Genomic Data.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Providing robust prognosis predictions for cancers with limited data samples remains a challenge for precision oncology. In this study, we propose a novel approach that combines multi-task learning (MTL) and graph neural networks (GNNs) to address th...
Algorithms Prognosis Neoplasms Humans Neural Networks, Computer Genomics Graph Neural Networks
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