AIMC Topic: Markov Chains

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Autoregressive Neural Network for Simulating Open Quantum Systems via a Probabilistic Formulation.

Physical review letters Mar 4, 2022
The theory of open quantum systems lays the foundation for a substantial part of modern research in quantum science and engineering. Rooted in the dimensionality of their extended Hilbert spaces, the high computational complexity of simulating open q...
Markov Chains Monte Carlo Method Physics Neural Networks, Computer Algorithms
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Progress in deep Markov state modeling: Coarse graining and experimental data restraints.

The Journal of chemical physics Dec 7, 2021
Recent advances in deep learning frameworks have established valuable tools for analyzing the long-timescale behavior of complex systems, such as proteins. In particular, the inclusion of physical constraints, e.g., time-reversibility, was a crucial ...
Molecular Dynamics Simulation Markov Chains Biophysics Neural Networks, Computer Microfilament Proteins
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Image-based laparoscopic tool detection and tracking using convolutional neural networks: a review of the literature.

Computer assisted surgery (Abingdon, England) Dec 1, 2020
Intraoperative detection and tracking of minimally invasive instruments is a prerequisite for computer- and robotic-assisted surgery. Since additional hardware, such as tracking systems or the robot encoders, are cumbersome and lack accuracy, surgica...
Telemedicine Markov Chains Neural Networks, Computer Algorithms Deep Learning Humans Image Processing, Computer-Assisted Minimally Invasive Surgical Procedures Robotic Surgical Procedures
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Deep reinforcement learning based valve scheduling for pollution isolation in water distribution network.

Mathematical biosciences and engineering : MBE Sep 26, 2019
Public water supply facilities are vulnerable to intentional intrusion. In particular, Water Distribution Network (WDN) has become one of the most important public facilities that are prone to be attacked because of its wide coverage and constant ope...
Water Supply Water Pollution Markov Chains Water Quality Algorithms Risk Assessment Deep Learning Environmental Monitoring Water Pollutants, Chemical Diffusion
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HMMRATAC: a Hidden Markov ModeleR for ATAC-seq.

Nucleic acids research Sep 19, 2019
ATAC-seq has been widely adopted to identify accessible chromatin regions across the genome. However, current data analysis still utilizes approaches initially designed for ChIP-seq or DNase-seq, without considering the transposase digested DNA fragm...
Humans Software High-Throughput Nucleotide Sequencing Markov Chains Datasets as Topic Sequence Analysis, DNA DNA Supervised Machine Learning Nucleosomes Transposases Genome, Human Histones
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Semi-supervised learning of Hidden Markov Models for biological sequence analysis.

Bioinformatics (Oxford, England) Jul 1, 2019
MOTIVATION: Hidden Markov Models (HMMs) are probabilistic models widely used in applications in computational sequence analysis. HMMs are basically unsupervised models. However, in the most important applications, they are trained in a supervised man...
Supervised Machine Learning Markov Chains Sequence Analysis Algorithms Models, Statistical
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An account of in silico identification tools of secreted effector proteins in bacteria and future challenges.

Briefings in bioinformatics Jan 18, 2019
Bacterial pathogens secrete numerous effector proteins via six secretion systems, type I to type VI secretion systems, to adapt to new environments or to promote virulence by bacterium-host interactions. Many computational approaches have been used i...
Computational Biology Support Vector Machine Bayes Theorem Bacterial Proteins Models, Biological Virulence Algorithms Databases, Factual Humans Computer Simulation Neural Networks, Computer Machine Learning Markov Chains Bacterial Secretion Systems Host Microbial Interactions
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Personalized Pancreatic Cancer Management: A Systematic Review of How Machine Learning Is Supporting Decision-making.

Pancreas Jan 1, 2019
This review critically analyzes how machine learning is being used to support clinical decision-making in the management of potentially resectable pancreatic cancer. Following PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-analyses...
Precision Medicine Humans Pancreatic Neoplasms Machine Learning Reproducibility of Results Decision Support Techniques Bayes Theorem Decision Making Markov Chains
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A SEMG-angle model based on HMM for human robot interaction.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2019
BACKGROUND: An important part of the rehabilitation process using exoskeleton robots has been the creation of a friendly Human Robot Interaction (HRI) system.
Markov Chains Principal Component Analysis Humans Range of Motion, Articular Robotics Neural Networks, Computer Self-Help Devices Electromyography
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Automatic Human-like Mining and Constructing Reliable Genetic Association Database with Deep Reinforcement Learning.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing Jan 1, 2019
The increasing amount of scientific literature in biological and biomedical science research has created a challenge in continuous and reliable curation of the latest knowledge discovered, and automatic biomedical text-mining has been one of the answ...
Genetic Association Studies Computational Biology Databases, Genetic Markov Chains Reproducibility of Results PubMed Humans Unified Medical Language System Deep Learning Algorithms Knowledge Bases Decision Support Techniques Data Mining
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