AIMC Topic: Neural Networks, Computer

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Graph Representation Learning Based on Specific Subgraphs for Biomedical Interaction Prediction.

IEEE/ACM transactions on computational biology and bioinformatics Oct 9, 2024
Discovering the novel associations of biomedical entities is of great significance and can facilitate not only the identification of network biomarkers of disease but also the search for putative drug targets.Graph representation learning (GRL) has i...
Algorithms Neural Networks, Computer Computational Biology Machine Learning Humans
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Geometry-Augmented Molecular Representation Learning for Property Prediction.

IEEE/ACM transactions on computational biology and bioinformatics Oct 9, 2024
Accurate molecular representation plays a crucial role in expediting the process of drug discovery. Graph neural networks (GNNs) have demonstrated robust capabilities in molecular representation learning, adept at capturing structural and spatial inf...
Neural Networks, Computer Computational Biology Machine Learning Models, Molecular Algorithms Drug Discovery
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A Network Enhancement Method to Identify Spurious Drug-Drug Interactions.

IEEE/ACM transactions on computational biology and bioinformatics Oct 9, 2024
As medical safety and drug regulation gain heightened attention, the detection of spurious drug-drug interactions (DDI) has become key in healthcare. Although current research using graph neural networks (GNNs) to predict DDI has shown impressive res...
Drug Interactions Algorithms Computational Biology Humans Neural Networks, Computer
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HybAVPnet: A Novel Hybrid Network Architecture for Antiviral Peptides Prediction.

IEEE/ACM transactions on computational biology and bioinformatics Oct 9, 2024
Viruses pose a great threat to human production and life, thus the research and development of antiviral drugs is urgently needed. Antiviral peptides play an important role in drug design and development. Compared with the time-consuming and laboriou...
Peptides Antiviral Agents Computational Biology Machine Learning Algorithms Neural Networks, Computer
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Deep Spatio-Temporal Network for Low-SNR Cryo-EM Movie Frame Enhancement.

IEEE/ACM transactions on computational biology and bioinformatics Oct 9, 2024
Cryo-EM in single particle analysis is known to have low SNR and requires to utilize several frames of the same particle sample to restore one high-quality image for visualizing that particle. However, the low SNR of cryo-EM movie and motion caused b...
Neural Networks, Computer Cryoelectron Microscopy Image Processing, Computer-Assisted Algorithms Signal-To-Noise Ratio Deep Learning
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SGLMDA: A Subgraph Learning-Based Method for miRNA-Disease Association Prediction.

IEEE/ACM transactions on computational biology and bioinformatics Oct 9, 2024
MicroRNAs (miRNA) are endogenous non-coding RNAs, typically around 23 nucleotides in length. Many miRNAs have been founded to play crucial roles in gene regulation though post-transcriptional repression in animals. Existing studies suggest that the d...
MicroRNAs Genetic Predisposition to Disease Computational Biology Algorithms Neoplasms Humans Neural Networks, Computer Machine Learning
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Improving Clinical Decision Making With a Two-Stage Recommender System.

IEEE/ACM transactions on computational biology and bioinformatics Oct 9, 2024
Clinical decision-making is complex and time-intensive. To help in this effort, clinical recommender systems (RS) have been designed to facilitate healthcare practitioners with personalized advice. However, designing an effective clinical RS poses ch...
Deep Learning Decision Support Systems, Clinical Electronic Health Records Clinical Decision-Making Computational Biology Humans Neural Networks, Computer Algorithms
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Memristor-based circuit design of BiLSTM network.

Neural networks : the official journal of the International Neural Network Society Oct 8, 2024
The bidirectional long short-term memory (BiLSTM) network involves significant amount of parameter computations. This paper proposes the memristor-based bidirectional long short-term memory (MBiLSTM) network, with its capability of in-memory computin...
Humans Neural Networks, Computer Algorithms
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Spatially Resolved Fibre-Optic Probe for Cervical Precancer Detection Using Fluorescence Spectroscopy and PCA-ANN-Based Classification Algorithm: An In Vitro Study.

Journal of biophotonics Oct 8, 2024
Cervical cancer can be detected at an early stage through the changes occurring in biochemical and morphological properties of epithelium layer. Fluorescence spectroscopy has the ability to identify these subtle changes non-invasively and in real tim...
Neural Networks, Computer Algorithms Humans Spectrometry, Fluorescence Optical Fibers Precancerous Conditions Fiber Optic Technology Principal Component Analysis Female Uterine Cervical Neoplasms
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Graph neural networks in multi-stained pathological imaging: extended comparative analysis of Radiomic features.

International journal of computer assisted radiology and surgery Oct 7, 2024
PURPOSE: This study investigates the application of Radiomic features within graph neural networks (GNNs) for the classification of multiple-epitope-ligand cartography (MELC) pathology samples. It aims to enhance the diagnosis of often misdiagnosed s...
Humans Neural Networks, Computer Image Interpretation, Computer-Assisted Graph Neural Networks Radiomics Skin Diseases
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