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Journal Abstract Search

129 related items for PubMed ID: 9672830

  • 1. Compound Poisson and Poisson process approximations for occurrences of multiple words in Markov chains.
    Reinert G, Schbath S.
    J Comput Biol; 1998; 5(2):223-53. PubMed ID: 9672830
    [Abstract] [Full Text] [Related]

  • 2. An overview on the distribution of word counts in Markov chains.
    Schbath S.
    J Comput Biol; 2000; 7(1-2):193-201. PubMed ID: 10890396
    [Abstract] [Full Text] [Related]

  • 3. Probabilistic and statistical properties of words: an overview.
    Reinert G, Schbath S, Waterman MS.
    J Comput Biol; 2000; 7(1-2):1-46. PubMed ID: 10890386
    [Abstract] [Full Text] [Related]

  • 4. Numerical comparison of several approximations of the word count distribution in random sequences.
    Robin S, Schbath S.
    J Comput Biol; 2001; 8(4):349-59. PubMed ID: 11571071
    [Abstract] [Full Text] [Related]

  • 5. Exceptional motifs in different Markov chain models for a statistical analysis of DNA sequences.
    Schbath S, Prum B, de Turckheim E.
    J Comput Biol; 1995; 2(3):417-37. PubMed ID: 8521272
    [Abstract] [Full Text] [Related]

  • 6. Poisson process approximation for sequence repeats, and sequencing by hybridization.
    Arratia R, Martin D, Reinert G, Waterman MS.
    J Comput Biol; 1996; 3(3):425-63. PubMed ID: 8891959
    [Abstract] [Full Text] [Related]

  • 7. Poisson, compound Poisson and process approximations for testing statistical significance in sequence comparisons.
    Goldstein L, Waterman MS.
    Bull Math Biol; 1992 Sep; 54(5):785-812. PubMed ID: 1638260
    [Abstract] [Full Text] [Related]

  • 8. Extracting state transition dynamics from multiple spike trains using hidden Markov models with correlated poisson distribution.
    Katahira K, Nishikawa J, Okanoya K, Okada M.
    Neural Comput; 2010 Sep 01; 22(9):2369-89. PubMed ID: 20337539
    [Abstract] [Full Text] [Related]

  • 9. Detecting correlations among functional-sequence motifs.
    Pirino D, Rigosa J, Ledda A, Ferretti L.
    Phys Rev E Stat Nonlin Soft Matter Phys; 2012 Jun 01; 85(6 Pt 2):066124. PubMed ID: 23005179
    [Abstract] [Full Text] [Related]

  • 10. On the distribution of k-tuple matches for sequence homology: a constant time exact calculation of the variance.
    Benson G, Su X.
    J Comput Biol; 1998 Jun 01; 5(1):87-100. PubMed ID: 9541873
    [Abstract] [Full Text] [Related]

  • 11. Compound poisson approximation of the number of occurrences of a position frequency matrix (PFM) on both strands.
    Pape UJ, Rahmann S, Sun F, Vingron M.
    J Comput Biol; 2008 Jun 01; 15(6):547-64. PubMed ID: 18631020
    [Abstract] [Full Text] [Related]

  • 12. A Markov formulation of the repair-misrepair model of cell survival.
    Albright N.
    Radiat Res; 1989 Apr 01; 118(1):1-20. PubMed ID: 2704782
    [Abstract] [Full Text] [Related]

  • 13. Coulombic free energy of polymeric nucleic acid: low- and high-salt analytical approximations for the cylindrical Poisson-Boltzmann model.
    Shkel IA.
    J Phys Chem B; 2010 Aug 26; 114(33):10793-803. PubMed ID: 20681741
    [Abstract] [Full Text] [Related]

  • 14. Harnessing the theoretical foundations of the exponential and beta-Poisson dose-response models to quantify parameter uncertainty using Markov Chain Monte Carlo.
    Schmidt PJ, Pintar KD, Fazil AM, Topp E.
    Risk Anal; 2013 Sep 26; 33(9):1677-93. PubMed ID: 23311599
    [Abstract] [Full Text] [Related]

  • 15. Gaussian process approach to spiking neurons for inhomogeneous Poisson inputs.
    Amemori KI, Ishii S.
    Neural Comput; 2001 Dec 26; 13(12):2763-97. PubMed ID: 11705410
    [Abstract] [Full Text] [Related]

  • 16. Poissonian steady states: from stationary densities to stationary intensities.
    Eliazar I.
    Phys Rev E Stat Nonlin Soft Matter Phys; 2012 Oct 26; 86(4 Pt 1):041140. PubMed ID: 23214562
    [Abstract] [Full Text] [Related]

  • 17. LD-SPatt: large deviations statistics for patterns on Markov chains.
    Nuel G.
    J Comput Biol; 2004 Oct 26; 11(6):1023-33. PubMed ID: 15662195
    [Abstract] [Full Text] [Related]

  • 18. [Statistical characteristics in primary structures of functional regions of Escherichia coli genome. II. Non-stationary Markov chains].
    Borodovskiĭ MIu, Sprizhitskiĭ IuA, Golovanov EI, Aleksandrov AA.
    Mol Biol (Mosk); 1986 Oct 26; 20(4):1024-33. PubMed ID: 3531811
    [Abstract] [Full Text] [Related]

  • 19. Binary N-step Markov chains and long-range correlated systems.
    Usatenko OV, Yampol'skii VA.
    Phys Rev Lett; 2003 Mar 21; 90(11):110601. PubMed ID: 12688921
    [Abstract] [Full Text] [Related]

  • 20. Approximate inference for disease mapping with sparse Gaussian processes.
    Vanhatalo J, Pietiläinen V, Vehtari A.
    Stat Med; 2010 Jul 10; 29(15):1580-607. PubMed ID: 20552572
    [Abstract] [Full Text] [Related]

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