AI Medical Compendium Journal:
Journal of computational biology : a journal of computational molecular cell biology

Showing 1 to 10 of 69 articles

Compressed Representation of Extreme Learning Machine with Self-Diffusion Graph Denoising Applied for Dissecting Molecular Heterogeneity.

Journal of computational biology : a journal of computational molecular cell biology Mar 19, 2025
Molecular heterogeneity exists in many biological systems, such as major malignancies or diverse cell populations. Clustering of gene expression profiles has been widely used to dissect molecular heterogeneity. One drawback common to most clustering ...
Humans Machine Learning Algorithms Computational Biology Cluster Analysis Extreme Learning Machines Neoplasms Gene Expression Profiling
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AFMDD: Analyzing Functional Connectivity Feature of Major Depressive Disorder by Graph Neural Network-Based Model.

Journal of computational biology : a journal of computational molecular cell biology Feb 3, 2025
The extraction of biomarkers from functional connectivity (FC) in the brain is of great significance for the diagnosis of mental disorders. In recent years, with the development of deep learning, several methods have been proposed to assist in the di...
Algorithms Biomarkers Brain Humans Neural Networks, Computer Graph Neural Networks Depressive Disorder, Major Deep Learning
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Fuzzy-Based Identification of Transition Cells to Infer Cell Trajectory for Single-Cell Transcriptomics.

Journal of computational biology : a journal of computational molecular cell biology Dec 13, 2024
With the continuous evolution of single-cell RNA sequencing technology, it has become feasible to reconstruct cell development processes using computational methods. Trajectory inference is a crucial downstream analytical task that provides valuable ...
Cell Differentiation Single-Cell Analysis Humans Computer Simulation Gene Expression Profiling Computational Biology Algorithms Transcriptome Fuzzy Logic Sequence Analysis, RNA Cluster Analysis
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A Graph-Based Machine-Learning Approach Combined with Optical Measurements to Understand Beating Dynamics of Cardiomyocytes.

Journal of computational biology : a journal of computational molecular cell biology Dec 9, 2024
The development of computational models for the prediction of cardiac cellular dynamics remains a challenge due to the lack of first-principled mathematical models. We develop a novel machine-learning approach hybridizing physics simulation and graph...
Animals Calcium Myocytes, Cardiac Machine Learning Algorithms Computer Simulation Humans
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DRGAT: Predicting Drug Responses Via Diffusion-Based Graph Attention Network.

Journal of computational biology : a journal of computational molecular cell biology Dec 6, 2024
Accurately predicting drug response depending on a patient's genomic profile is critical for advancing personalized medicine. Deep learning approaches rise and especially the rise of graph neural networks leveraging large-scale omics datasets have be...
Deep Learning ROC Curve Computational Biology Algorithms Precision Medicine Humans Neural Networks, Computer
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CLHGNNMDA: Hypergraph Neural Network Model Enhanced by Contrastive Learning for miRNA-Disease Association Prediction.

Journal of computational biology : a journal of computational molecular cell biology Nov 27, 2024
Numerous biological experiments have demonstrated that microRNA (miRNA) is involved in gene regulation within cells, and mutations and abnormal expression of miRNA can cause a myriad of intricate diseases. Forecasting the association between miRNA an...
MicroRNAs Humans Algorithms Neural Networks, Computer Genetic Predisposition to Disease Machine Learning Computational Biology
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Generative AI Models for the Protein Scaffold Filling Problem.

Journal of computational biology : a journal of computational molecular cell biology Oct 23, 2024
De novo protein sequencing is an important problem in proteomics, playing a crucial role in understanding protein functions, drug discovery, design and evolutionary studies, etc. Top-down and bottom-up tandem mass spectrometry are popular approaches ...
Amino Acid Sequence Sequence Analysis, Protein Algorithms Computational Biology Proteins Databases, Protein Proteomics Humans Artificial Intelligence
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From Noise to Knowledge: Diffusion Probabilistic Model-Based Neural Inference of Gene Regulatory Networks.

Journal of computational biology : a journal of computational molecular cell biology Oct 10, 2024
Understanding gene regulatory networks (GRNs) is crucial for elucidating cellular mechanisms and advancing therapeutic interventions. Original methods for GRN inference from bulk expression data often struggled with the high dimensionality and inhere...
Single-Cell Analysis Gene Regulatory Networks Models, Genetic Models, Statistical Computational Biology Neural Networks, Computer Software Algorithms Humans
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From Policy to Prediction: Assessing Forecasting Accuracy in an Integrated Framework with Machine Learning and Disease Models.

Journal of computational biology : a journal of computational molecular cell biology Aug 2, 2024
To improve the forecasting accuracy of the spread of infectious diseases, a hybrid model was recently introduced where the commonly assumed constant disease transmission rate was actively estimated from enforced mitigating policy data by a machine le...
United States Bayes Theorem Humans SARS-CoV-2 COVID-19 Machine Learning Canada Forecasting
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A Hybrid GNN Approach for Improved Molecular Property Prediction.

Journal of computational biology : a journal of computational molecular cell biology Jul 31, 2024
The development of new drugs is a vital effort that has the potential to improve human health, well-being and life expectancy. Molecular property prediction is a crucial step in drug discovery, as it helps to identify potential therapeutic compounds....
Computational Biology Algorithms Drug Discovery Deep Learning Humans Neural Networks, Computer
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