 Markov Chains
"Markov Chains" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
A stochastic process such that the conditional probability distribution for a state at any future instant, given the present state, is unaffected by any additional knowledge of the past history of the system.
| Descriptor ID |
D008390
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| MeSH Number(s) |
E05.318.740.600.500 E05.318.740.996.500 G17.830.500 N05.715.360.750.625.500 N05.715.360.750.770.500 N06.850.520.830.600.500 N06.850.520.830.996.500
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| Concept/Terms |
Markov Chains- Markov Chains
- Chains, Markov
- Markov Process
- Markov Processes
- Process, Markov
- Processes, Markov
- Markov Chain
- Chain, Markov
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Below are MeSH descriptors whose meaning is more general than "Markov Chains".
Below are MeSH descriptors whose meaning is more specific than "Markov Chains".
This graph shows the total number of publications written about "Markov Chains" by people in this website by year, and whether "Markov Chains" was a major or minor topic of these publications.
To see the data from this visualization as text, click here.
| Year | Major Topic | Minor Topic | Total |
|---|
| 1993 | 1 | 0 | 1 | | 1994 | 0 | 1 | 1 | | 1995 | 0 | 1 | 1 | | 1996 | 0 | 1 | 1 | | 1997 | 0 | 2 | 2 | | 1998 | 1 | 1 | 2 | | 1999 | 0 | 2 | 2 | | 2000 | 0 | 1 | 1 | | 2001 | 0 | 2 | 2 | | 2002 | 0 | 4 | 4 | | 2003 | 0 | 4 | 4 | | 2004 | 1 | 3 | 4 | | 2005 | 0 | 4 | 4 | | 2006 | 0 | 1 | 1 | | 2007 | 0 | 4 | 4 | | 2008 | 1 | 6 | 7 | | 2009 | 0 | 6 | 6 | | 2010 | 0 | 6 | 6 | | 2011 | 1 | 4 | 5 | | 2012 | 1 | 6 | 7 | | 2013 | 0 | 2 | 2 | | 2014 | 0 | 7 | 7 | | 2015 | 0 | 6 | 6 | | 2016 | 1 | 4 | 5 | | 2017 | 0 | 2 | 2 | | 2018 | 0 | 6 | 6 | | 2019 | 0 | 1 | 1 |
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Below are the most recent publications written about "Markov Chains" by people in Profiles.
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Sherman SK, Lange JJ, Dahdaleh FS, Rajeev R, Gamblin TC, Polite BN, Turaga KK. Cost-effectiveness of Maintenance Capecitabine and Bevacizumab for Metastatic Colorectal Cancer. JAMA Oncol. 2019 02 01; 5(2):236-242.
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Didelot X, Croucher NJ, Bentley SD, Harris SR, Wilson DJ. Bayesian inference of ancestral dates on bacterial phylogenetic trees. Nucleic Acids Res. 2018 12 14; 46(22):e134.
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Padula WV, Pronovost PJ, Makic MBF, Wald HL, Moran D, Mishra MK, Meltzer DO. Value of hospital resources for effective pressure injury prevention: a cost-effectiveness analysis. BMJ Qual Saf. 2019 02; 28(2):132-141.
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Spence JP, Steinrücken M, Terhorst J, Song YS. Inference of population history using coalescent HMMs: review and outlook. Curr Opin Genet Dev. 2018 12; 53:70-76.
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Steinrücken M, Spence JP, Kamm JA, Wieczorek E, Song YS. Model-based detection and analysis of introgressed Neanderthal ancestry in modern humans. Mol Ecol. 2018 10; 27(19):3873-3888.
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Singh D, Wang Y, Mallon J, Yang O, Fei J, Poddar A, Ceylan D, Bailey S, Ha T. Mechanisms of improved specificity of engineered Cas9s revealed by single-molecule FRET analysis. Nat Struct Mol Biol. 2018 04; 25(4):347-354.
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Ni Y, Müller P, Wei L, Ji Y. Bayesian graphical models for computational network biology. BMC Bioinformatics. 2018 03 21; 19(Suppl 3):63.
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Laiteerapong N, Cooper JM, Skandari MR, Clarke PM, Winn AN, Naylor RN, Huang ES. Individualized Glycemic Control for U.S. Adults With Type 2 Diabetes: A Cost-Effectiveness Analysis. Ann Intern Med. 2018 02 06; 168(3):170-178.
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Miroshnikov A, Steinrücken M. Computing the joint distribution of the total tree length across loci in populations with variable size. Theor Popul Biol. 2017 12; 118:1-19.
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Redmond JM, Gupta A, Dunne K, Humayun A, Yuen LC, Domb BG. What Factors Predict Conversion to THA After Arthroscopy? Clin Orthop Relat Res. 2017 Oct; 475(10):2538-2545.
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