Markov models—Markov chains - Nature Methods
Jul 30, 2019 · The simplest model with the Markov property is a Markov chain. Consider a single cell that can transition among three states: growth (G), mitosis (M) and arrest (A).
Markov models — hidden Markov models - Nature Methods
Aug 30, 2019 · In cases where states cannot be directly observed, Markov chains (MC) can be extended to hidden Markov models (HMMs), which incorporate ‘hidden states’.
A deep learning approach to real-time Markov modeling of ion
Nov 30, 2024 · Here, the authors present a deep learning approach for extracting Markov models from single-channel recordings.
Deep learning to decompose macromolecules into independent …
Nov 19, 2022 · In this manuscript, we approach this challenge by introducing a method that combines our recent progress on independent Markov decomposition (IMD) with VAMPnets, a …
What is a hidden Markov model? - Nature Biotechnology
Oct 1, 2004 · Statistical models called hidden Markov models are a recurring theme in computational biology. What are hidden Markov models, and why are they so useful for so …
Quantum-enhanced Markov chain Monte Carlo - Nature
Jul 12, 2023 · A quantum algorithm is introduced that performs Markov chain Monte Carlo to sample from the Boltzmann distribution of Ising models, demonstrating, through experiments …
Markov analysis and the Langevin equation of the Earth surface ...
Aug 11, 2025 · Markov equations are used to solve complex nonlinear differential equations that are not easily solvable. In the context of climate data, these equations can provide insights into …
Using higher-order Markov models to reveal flow-based
Mar 31, 2016 · Here, we explore possibilities to enrich the system description by means of second-order Markov models, exploiting empirical pathway information.
A lineage tree-based hidden Markov model quantifies cellular ...
Nov 17, 2022 · In this paper, we introduced a tree-based hidden Markov model that clusters single cells from heterogeneous populations based solely on their phenotypic traits and …
Quantum Markov Chains and Phase Transitions - Nature
Recent investigations have broadened the scope of QMCs by incorporating elements of entanglement to extend classical hidden Markov models into the quantum domain.
Markov chain-based impact analysis of the pandemic Covid-19
Apr 24, 2024 · A combination of Markov chain model (MCM) and Chapman-Kolmogorov approach (CKA) has been used for the predictive modeling and validation for various data configurations.
The state path is a Markov chain, meaning that what state we go to next depends only on what state we’re in.
Multistate Markov model for functional recovery in stroke
Sep 26, 2025 · This study developed and validated a five-state Markov model to quantify state transition probabilities and predict functional outcomes in stroke patients, providing …
Hidden Markov modeling for maximum probability neuron
Apr 25, 2022 · Our algorithms exploit two splitting properties, the Markov nature of the state sequence and the splitting of the random field image conditioned on the state sequence.
Modelling of queuing systems using blockchain based on Markov …
May 18, 2025 · This paper leverages Markov chains to establish queueing theory for blockchain systems and assess the performance of smart healthcare architecture.
Fault-tolerant and mobility-aware loading via Markov chain in …
May 29, 2025 · Using fault-tolerant approaches and user mobility patterns defined by a Markov chain, this research introduces a novel decision-making framework for mobility-aware offloading.
training and evaluation of hidden Markov models - Nature
Feb 4, 2020 · In the previous column 1 we showed how hidden states driving observable changes in a cell can be modeled as a hidden Markov model (HMM).
Using hidden Markov modelling to reveal in-session stages in
Nov 21, 2024 · This study aimed to apply Hidden Markov Models (HMMs) to analyse counselling sessions from Open Up, an online text-based counselling platform in Hong Kong.
A Markov decision optimization of medical service resources
Jan 23, 2025 · They applied the Viterbi algorithm for modeling, with a hidden Markov model used to determine human resource allocation, nurse prioritization, and required staffing levels.
Probabilistic Model Checking and Markov Decision Processes
Markov decision process (MDP): A mathematical framework used to model decision making in situations where outcomes are partly random and partly under the control of a decision-maker.