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MeSH Review

Markov Chains

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Disease relevance of Markov Chains


High impact information on Markov Chains

  • The env V3 and p17gag regions of the genome were sequenced, and genetic distances were estimated by using the true tree and a nucleotide substitution model based on a general reversible Markov process with a gamma distribution to account for differences in substitution rates among sites [4].
  • A Bayesian model/variable selection approach using Markov Chain Monte Carlo computations was applied to these data, and serum CA125 values, to determine the best predictive model [5].
  • The relative intensities of the four methyl 13C peaks cannot be explained by the random process model for inclusion but are successfully reproduced by assuming the first-order Markov process, in which the inclusion probabilities of S and R depend on which enantiomer has precedingly entered the CA channel [6].
  • The first, second, third and fourth order Markov chain analysis on the amino-acid sequence of human dopamine beta-hydroxylase [7].
  • Interaction was coded with the Relational Control Coding System and analyzed as a Markov process [8].

Biological context of Markov Chains


Anatomical context of Markov Chains


Associations of Markov Chains with chemical compounds

  • Interaction sequences were coded with the Relational Control Coding System, and Markov process characteristics of order (degree of sequential dependency), stationarity, and role homogeneity were assessed with log-linear analysis [13].
  • Furthermore, Markov Chain Monte Carlo (MCMC) simulations of the posterior probability density provide uncertainties in all metabolic parameters from a single patient, thereby allowing comparisons in glucose metabolism from one individual to another [14].
  • The application allows the user to quantify word bias using Markov chain analysis and it allows the user to generate sliding window data for GC-skew, AT-skew, purine excess, keto excess and discrete word counts [15].
  • Using a Markov chain approach, Swedish cost data and a study period of 5 years, we conclude that H. pylori eradication with omeprazole and appropriate antibiotics is a cost-effective alternative compared with both maintenance and episodic treatment [16].
  • The approach is restricted to an analysis of purine and pyrimidine organization using the theory of stationary alternate Markov chains of first order [17].

Gene context of Markov Chains


  1. Effect of zidovudine and Pneumocystis carinii pneumonia prophylaxis on progression of HIV-1 infection to AIDS. The Multicenter AIDS Cohort Study. Graham, N.M., Zeger, S.L., Park, L.P., Phair, J.P., Detels, R., Vermund, S.H., Ho, M., Saah, A.J. Lancet (1991) [Pubmed]
  2. Significance testing of clinical data using virus dynamics models with a Markov chain Monte Carlo method: application to emergence of lamivudine-resistant hepatitis B virus. Burroughs, N.J., Pillay, D., Mutimer, D. Proc. Biol. Sci. (1999) [Pubmed]
  3. A Markov chain model to assess the efficacy of screening for non-insulin dependent diabetes mellitus (NIDDM). Kuo, H.S., Chang, H.J., Chou, P., Teng, L., Chen, T.H. International journal of epidemiology. (1999) [Pubmed]
  4. The molecular clock of HIV-1 unveiled through analysis of a known transmission history. Leitner, T., Albert, J. Proc. Natl. Acad. Sci. U.S.A. (1999) [Pubmed]
  5. Application of Bayesian modeling of autologous antibody responses against ovarian tumor-associated antigens to cancer detection. Erkanli, A., Taylor, D.D., Dean, D., Eksir, F., Egger, D., Geyer, J., Nelson, B.H., Stone, B., Fritsche, H.A., Roden, R.B. Cancer Res. (2006) [Pubmed]
  6. Sequential arrangement of gamma-valerolactone enantiomers enclathrated in cholic acid channels as studied by 13C solid-state NMR: elucidation of the optical resolution mechanism. Nakamura, S., Imashiro, F., Takegoshi, K., Terao, T. J. Am. Chem. Soc. (2004) [Pubmed]
  7. The first, second, third and fourth order Markov chain analysis on the amino-acid sequence of human dopamine beta-hydroxylase. Wu, G. Mol. Psychiatry (2000) [Pubmed]
  8. Interpersonal control and expressed emotion in families of persons with schizophrenia: change over time. Wuerker, A.K., Haas, G.L., Bellack, A.S. Schizophrenia bulletin. (2001) [Pubmed]
  9. Quantification of DNA patchiness using long-range correlation measures. Viswanathan, G.M., Buldyrev, S.V., Havlin, S., Stanley, H.E. Biophys. J. (1997) [Pubmed]
  10. A Bayesian approach to multipoint mapping in nuclear families. Thomas, D.C., Richardson, S., Gauderman, J., Pitkäniemi, J. Genet. Epidemiol. (1997) [Pubmed]
  11. Bayesian estimation of variability in adipose tissue blood flow in man by physiologically based pharmacokinetic modeling of inhalation exposure to toluene. Jonsson, F., Johanson, G. Toxicology (2001) [Pubmed]
  12. Characterization of endothelial cell locomotion using a Markov chain model. Lee, Y., Markenscoff, P.A., McIntire, L.V., Zygourakis, K. Biochem. Cell Biol. (1995) [Pubmed]
  13. Communication patterns and expressed emotion in families of persons with mental disorders. Wuerker, A.M. Schizophrenia bulletin. (1996) [Pubmed]
  14. Sources of plasma glucose by automated Bayesian analysis of 2H NMR spectra. Merritt, M., Bretthorst, G.L., Burgess, S.C., Sherry, A.D., Malloy, C.R. Magnetic resonance in medicine : official journal of the Society of Magnetic Resonance in Medicine / Society of Magnetic Resonance in Medicine. (2003) [Pubmed]
  15. Bias explorer: measurements of compositional bias in EMBL and GenBank sequence files. Fuglsang, A. Antonie Van Leeuwenhoek (2004) [Pubmed]
  16. The cost effectiveness of Helicobacter pylori eradication versus maintenance and episodic treatment in duodenal ulcer patients in Sweden. Unge, P., Jönsson, B., Stålhammar, N.O. PharmacoEconomics. (1995) [Pubmed]
  17. Promoter strength prediction based on occurrence frequencies of consensus patterns. Weller, K., Recknagel, R.D. J. Theor. Biol. (1994) [Pubmed]
  18. Cost-effectiveness of two follow-up strategies for curative resection of colorectal cancer: comparative study using a Markov model. Borie, F., Combescure, C., Daurès, J.P., Trétarre, B., Millat, B. World journal of surgery. (2004) [Pubmed]
  19. Activation of N-methyl-D-aspartate receptors by L-glutamate in cells dissociated from adult rat hippocampus. Gibb, A.J., Colquhoun, D. J. Physiol. (Lond.) (1992) [Pubmed]
  20. Efficacy of breast-cancer screening for female relatives of breast-cancer-index cases: Taiwan multicentre cancer screening (TAMCAS). Lai, M.S., Yen, M.F., Kuo, H.S., Koong, S.L., Chen, T.H., Duffy, S.W. Int. J. Cancer (1998) [Pubmed]
  21. Evaluation of screening for nasopharyngeal carcinoma: trial design using Markov chain models. Chen, H.H., Prevost, T.C., Duffy, S.W. Br. J. Cancer (1999) [Pubmed]
  22. Modeling the time course of CD4 T-lymphocyte counts according to the level of virologic rebound in HIV-1-infected patients on highly active antiretroviral therapy. Kousignian, I., Abgrall, S., Duval, X., Descamps, D., Matheron, S., Costagliola, D. J. Acquir. Immune Defic. Syndr. (2003) [Pubmed]
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