Results 41 to 50 of about 404,944 (276)

Markov Chain Ontology Analysis (MCOA)

BMC Bioinformatics, 2012
Background Biomedical ontologies have become an increasingly critical lens through which researchers analyze the genomic, clinical and bibliographic data that fuels scientific research.
Frost H, McCray Alexa T
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The optimal sink and the best source in a Markov chain

, 2012
It is well known that the distributions of hitting times in Markov chains are quite irregular, unless the limit as time tends to infinity is considered. We show that nevertheless for a typical finite irreducible Markov chain and for nondegenerate initial
A. Galves, G. Keller, J.-R. Chazottes, L.A. Bunimovich, Leonid Bunimovich, M. Abadi, M. Hirata, M. Kac, M. Kupsa, M.W. Hirsch, N. Haydn, N. Haydn, V.S. Afraimovich, V.S. Afraimovich, W. Feller, Y. Lacroix, Yuri Bakhtin   +16 more
core   +1 more source

Numerical Study of Turbid Slab Optical Properties Reconstruction from Multiple Scattering Signals Using Time-Based Markov Chain Model

Applied Sciences, 2021
The reconstruction of optical properties for opaque mediums is highly desired for medical, atmosphere and aerosol applications. However, the modeling and reconstruction process is highly related with multiple scattering phenomena, which elevates both the
Hujie Pan, Qinglin Xu, Xuesong Li, Shangning Wang, Min Xu   +4 more
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Hidden hybrid Markov/semi-Markov chains [PDF]

Computational Statistics & Data Analysis, 2005
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +3 more sources

A New Improved Parsimonious Multivariate Markov Chain Model

Journal of Applied Mathematics, 2013
We present a new improved parsimonious multivariate Markov chain model. Moreover, we find a new convergence condition with a new variability to improve the prediction accuracy and minimize the scale of the convergence condition.
Chao Wang, Ting-Zhu Huang
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Detection of Factors Affecting State Transition Based on Non-Homogeneous Markov Chain Model

IEEE Access, 2021
The dependent and independent variables in traditional linear regression models are continuous numerical variables. When the dependent variable or independent variable is a discrete variable, the traditional linear regression model can no longer be used ...
Shen Xiujuan, Liu Hefei, Li Yong, Yuan Bin   +3 more
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RIG‐I Mediated Neuron‐Specific IFN Type 1 Signaling in FUS‐ALS Induces Neurodegeneration and Offers New Biomarker‐Driven Individualized Treatment Options for (FUS‐)ALS

Advanced Science, EarlyView.
Using iPSC‐derived motoneurons and postmortem tissue from FUS‐ALS patients, it is demonstrated that increased mitochondrial transcription leads to elevated cytosolic double‐stranded RNA (dsRNA) levels. This aberrant accumulation activates a RIG‐I–dependent innate immune response leading to neurodegeneration, which is amenable for FDA‐ and EMA‐approved ...
Marcel Naumann, Theresa M. Wierschin, Stefanie Kretschmer, Banaja P. Dash, Aaron Held, Andrea Salzinger, Kevin Peikert, Anže Karlek, Hannes Glaß, Dajana Großmann, René Günther, Susanne Petri, Annekathrin Rödiger, David Brenner, Francisco Pan‐Montojo, Eleonora Aronica, Markus Kipp, Vitaly Zimyanin, Jared Sterneckert, Torsten Grehl, Noah D. Seebacher, Tobias M. Böckers, Alberto Catanese, Brian J. Wainger, Patrick Oeckl, Min Ae Lee‐Kirsch, Andreas Hermann   +26 more
wiley   +1 more source

A model for quantum queue

, 2012
We consider an extension of Discrete Time Markov Chain queueing model to the quantum domain by use of Discrete Time Quantum Markov Chain. We introduce methods for numerical analysis of such models.
Gawron, Piotr, Kurzyk, Dariusz, Puchała, Zbigniew   +2 more
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Lipid‐Facilitated Opening of the ADAM10 Sheddase Revealed by Enhanced Sampling Simulations

Advanced Science, EarlyView.
Phosphatidylserine acts as a lipid trigger to enhance activation of the sheddase ADAM10. By integrating fluorescence spectroscopy assays with enhanced sampling molecular dynamics simulations, this study shows that phosphatidylserine promotes ADAM10 catalytic activity along with expansion of its extracellular domains, enhancing accessibility to scaffold
Adrien Schahl, Nandan Haloi, Marta Carroni, Shengpan Zhang, Quentin James Sattentau, Erdinc Sezgin, Lucie Delemotte, Rebecca J. Howard   +7 more
wiley   +1 more source

Applying diffusion-based Markov chain Monte Carlo. [PDF]

PLoS ONE, 2017
We examine the performance of a strategy for Markov chain Monte Carlo (MCMC) developed by simulating a discrete approximation to a stochastic differential equation (SDE). We refer to the approach as diffusion MCMC.
Radu Herbei, Rajib Paul, L Mark Berliner
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