AIMC Topic: Markov Chains

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Flow Matching for Optimal Reaction Coordinates of Biomolecular Systems.

Journal of chemical theory and computation Dec 19, 2024
We present flow matching for reaction coordinates (FMRC), a novel deep learning algorithm designed to identify optimal reaction coordinates (RC) in biomolecular reversible dynamics. FMRC is based on the mathematical principles of lumpability and deco...
Deep Learning Molecular Dynamics Simulation Markov Chains Algorithms
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Reinforced Metapath Optimization in Heterogeneous Information Networks for Drug-Target Interaction Prediction.

IEEE/ACM transactions on computational biology and bioinformatics Dec 10, 2024
Graph neural networks offer an effective avenue for predicting drug-target interactions. In this domain, researchers have found that constructing heterogeneous information networks based on metapaths using diverse biological datasets enhances predict...
Neural Networks, Computer Algorithms Computational Biology Humans Markov Chains
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Optimization control for mean square synchronization of stochastic semi-Markov jump neural networks with non-fragile hidden information and actuator saturation.

Neural networks : the official journal of the International Neural Network Society Nov 23, 2024
This paper studies the asynchronous output feedback control and H synchronization problems for a class of continuous-time stochastic hidden semi-Markov jump neural networks (SMJNNs) affected by actuator saturation. Initially, a novel neural networks ...
Neural Networks, Computer Algorithms Markov Chains Stochastic Processes Computer Simulation Feedback
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Cost-effectiveness and cost-utility of community-based blinding fundus diseases screening with artificial intelligence: A modelling study from Shanghai, China.

Computers in biology and medicine Nov 2, 2024
BACKGROUND: With application of artificial intelligence (AI) in the disease screening, process reengineering occurred simultaneously. Whether process reengineering deserves special emphasis in AI implementation in the community-based blinding fundus ...
Humans Blindness Male Mass Screening Artificial Intelligence Quality-Adjusted Life Years Middle Aged Cost-Benefit Analysis Female China Retinal Diseases Markov Chains
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Neural parameter calibration and uncertainty quantification for epidemic forecasting.

PloS one Oct 17, 2024
The recent COVID-19 pandemic has thrown the importance of accurately forecasting contagion dynamics and learning infection parameters into sharp focus. At the same time, effective policy-making requires knowledge of the uncertainty on such prediction...
Uncertainty Forecasting Pandemics Humans SARS-CoV-2 Markov Chains Calibration Neural Networks, Computer COVID-19 Monte Carlo Method
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Enhanced Sampling of Biomolecular Slow Conformational Transitions Using Adaptive Sampling and Machine Learning.

Journal of chemical theory and computation Sep 20, 2024
Biomolecular simulations often suffer from the "time scale problem", hindering the study of rare events occurring over extended time scales. Enhanced sampling techniques aim to alleviate this issue by accelerating conformational transitions, yet they...
Markov Chains Machine Learning Dipeptides Molecular Dynamics Simulation Thermodynamics Protein Conformation Alanine
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Understanding Learning from EEG Data: Combining Machine Learning and Feature Engineering Based on Hidden Markov Models and Mixed Models.

Neuroinformatics Sep 10, 2024
Theta oscillations, ranging from 4-8 Hz, play a significant role in spatial learning and memory functions during navigation tasks. Frontal theta oscillations are thought to play an important role in spatial navigation and memory. Electroencephalograp...
Theta Rhythm Markov Chains Spatial Navigation Female Young Adult Male Electroencephalography Adult Brain Learning Humans Machine Learning
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Reinforced Computer-Aided Framework for Diagnosing Thyroid Cancer.

IEEE/ACM transactions on computational biology and bioinformatics Aug 9, 2024
Thyroid cancer is the most pervasive disease in the endocrine system and is getting extensive attention. The most prevalent method for an early check is ultrasound examination. Traditional research mainly concentrates on promoting the performance of ...
Markov Chains Image Interpretation, Computer-Assisted Humans Thyroid Neoplasms Algorithms Ultrasonography Diagnosis, Computer-Assisted Deep Learning Thyroid Gland
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Trajectory Analysis in Single-Particle Tracking: From Mean Squared Displacement to Machine Learning Approaches.

International journal of molecular sciences Aug 8, 2024
Single-particle tracking is a powerful technique to investigate the motion of molecules or particles. Here, we review the methods for analyzing the reconstructed trajectories, a fundamental step for deciphering the underlying mechanisms driving the m...
Software Algorithms Machine Learning Single Molecule Imaging Motion Markov Chains
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Protocol-based control for semi-Markov reaction-diffusion neural networks.

Neural networks : the official journal of the International Neural Network Society Jul 22, 2024
This paper addresses the asynchronous control problem for semi-Markov reaction-diffusion neural networks (SMRDNNs) under probabilistic event-triggered protocol (PETP) scheduling. A semi-Markov process with a deterministic switching rule is introduced...
Algorithms Computer Simulation Probability Markov Chains Neural Networks, Computer Stochastic Processes
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