AIMC Topic: Markov Chains

Clear Filters Showing 31 to 40 of 269 articles

Deep network embedding with dimension selection.

Neural networks : the official journal of the International Neural Network Society Jul 11, 2024
Network embedding is a general-purpose machine learning technique that converts network data from non-Euclidean space to Euclidean space, facilitating downstream analyses for the networks. However, existing embedding methods are often optimization-ba...
Markov Chains Monte Carlo Method Algorithms Humans Neural Networks, Computer Deep Learning Machine Learning
View on PubMed DOI

RevGraphVAMP: A protein molecular simulation analysis model combining graph convolutional neural networks and physical constraints.

Methods (San Diego, Calif.) Jul 6, 2024
Molecular dynamics simulation is a crucial research domain within the life sciences, focusing on comprehending the mechanisms of biomolecular interactions at atomic scales. Protein simulation, as a critical subfield, often utilizes MD for implementat...
Humans Proteins Molecular Dynamics Simulation Markov Chains Neural Networks, Computer Deep Learning
View on PubMed DOI

Effective training of nanopore callers for epigenetic marks with limited labelled data.

Open biology Jun 12, 2024
Nanopore sequencing platforms combined with supervised machine learning (ML) have been effective at detecting base modifications in DNA such as 5-methylcytosine (5mC) and N6-methyladenine (6mA). These ML-based nanopore callers have typically been tra...
Epigenesis, Genetic DNA Methylation DNA Humans Neural Networks, Computer Nanopores Nanopore Sequencing Markov Chains 5-Methylcytosine
View on PubMed DOI

A Kernelized Classification Approach for Cancer Recognition Using Markovian Analysis of DNA Structure Patterns as Feature Mining.

Cell biochemistry and biophysics Jun 7, 2024
Nucleotide-based molecules called DNA and RNA are essential for several biological processes that affect both normal and cancerous cells. They contain the critical genetic material needed for normal cell growth and functioning. The DNA structure patt...
Humans Data Mining Markov Chains Logistic Models Support Vector Machine DNA Algorithms Neoplasms
View on PubMed DOI

Compressing neural networks via formal methods.

Neural networks : the official journal of the International Neural Network Society May 29, 2024
Advancements in Neural Networks have led to larger models, challenging implementation on embedded devices with memory, battery, and computational constraints. Consequently, network compression has flourished, offering solutions to reduce operations a...
Data Compression Neural Networks, Computer Algorithms Humans Markov Chains
View on PubMed DOI

NPEX: Never give up protein exploration with deep reinforcement learning.

Journal of molecular graphics & modelling May 25, 2024
Elucidating unknown structures of proteins, such as metastable states, is critical in designing therapeutic agents. Protein structure exploration has been performed using advanced computational methods, especially molecular dynamics and Markov chain ...
Protein Conformation Monte Carlo Method Markov Chains Algorithms Dipeptides Proteins Molecular Dynamics Simulation Deep Learning
View on PubMed DOI

An intelligent model to decode students' behavioral states in physical education using back propagation neural network and Hidden Markov Model.

BMC psychology May 6, 2024
This paper highlights the need for intelligent analysis of students' behavioral states in physical education tasks. The hand-ring inertial data is used to identify students' motion sequence states. First, statistical feature extraction is performed b...
Humans Neural Networks, Computer Markov Chains Physical Education and Training Students
View on PubMed DOI

Cost-Effectiveness of Artificial Intelligence-Based Opportunistic Compression Fracture Screening of Existing Radiographs.

Journal of the American College of Radiology : JACR Mar 26, 2024
PURPOSE: Osteoporotic vertebral compression fractures (OVCFs) are a highly prevalent source of morbidity and mortality, and preventive treatment has been demonstrated to be both effective and cost effective. To take advantage of the information avail...
Cost-Benefit Analysis Sensitivity and Specificity Osteoporotic Fractures Humans Markov Chains Spinal Fractures Male Female Artificial Intelligence Mass Screening Quality-Adjusted Life Years Fractures, Compression Software Aged
View on PubMed DOI

Automated model building and protein identification in cryo-EM maps.

Nature Feb 26, 2024
Interpreting electron cryo-microscopy (cryo-EM) maps with atomic models requires high levels of expertise and labour-intensive manual intervention in three-dimensional computer graphics programs. Here we present ModelAngelo, a machine-learning approa...
Amino Acid Sequence Proteins Neural Networks, Computer Markov Chains Protein Conformation Machine Learning Models, Molecular Cryoelectron Microscopy Computer Graphics
View on PubMed DOI

Machine Learning Deciphered Molecular Mechanistics with Accurate Kinetic and Thermodynamic Prediction.

Journal of chemical theory and computation Feb 23, 2024
Time-lagged independent component analysis (tICA) and the Markov state model (MSM) have been extensively employed for extracting conformational dynamics and kinetic community networks from unbiased trajectory ensembles. However, these techniques may ...
Kinetics Molecular Dynamics Simulation Markov Chains Humans Thermodynamics Machine Learning Myeloid Cell Leukemia Sequence 1 Protein
View on PubMed DOI
Popular Topics
Recent Journals