BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

227 related articles for article (PubMed ID: 1286805)

  • 1. Estimating effective population size from samples of sequences: a bootstrap Monte Carlo integration method.
    Felsenstein J
    Genet Res; 1992 Dec; 60(3):209-20. PubMed ID: 1286805
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Estimating effective population size and mutation rate from sequence data using Metropolis-Hastings sampling.
    Kuhner MK; Yamato J; Felsenstein J
    Genetics; 1995 Aug; 140(4):1421-30. PubMed ID: 7498781
    [TBL] [Abstract][Full Text] [Related]  

  • 3. An efficient Monte Carlo method for estimating Ne from temporally spaced samples using a coalescent-based likelihood.
    Anderson EC
    Genetics; 2005 Jun; 170(2):955-67. PubMed ID: 15834143
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Estimating effective population size from samples of sequences: inefficiency of pairwise and segregating sites as compared to phylogenetic estimates.
    Felsenstein J
    Genet Res; 1992 Apr; 59(2):139-47. PubMed ID: 1628818
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Parametric and nonparametric population methods: their comparative performance in analysing a clinical dataset and two Monte Carlo simulation studies.
    Bustad A; Terziivanov D; Leary R; Port R; Schumitzky A; Jelliffe R
    Clin Pharmacokinet; 2006; 45(4):365-83. PubMed ID: 16584284
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Bayesian coestimation of phylogeny and sequence alignment.
    Lunter G; Miklós I; Drummond A; Jensen JL; Hein J
    BMC Bioinformatics; 2005 Apr; 6():83. PubMed ID: 15804354
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Exact computation of coalescent likelihood for panmictic and subdivided populations under the infinite sites model.
    Wu Y
    IEEE/ACM Trans Comput Biol Bioinform; 2010; 7(4):611-8. PubMed ID: 21030730
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Comparison of models for nucleotide substitution used in maximum-likelihood phylogenetic estimation.
    Yang Z; Goldman N; Friday A
    Mol Biol Evol; 1994 Mar; 11(2):316-24. PubMed ID: 8170371
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Phylogenetic analysis using parsimony and likelihood methods.
    Yang Z
    J Mol Evol; 1996 Feb; 42(2):294-307. PubMed ID: 8919881
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Full likelihood inference from the site frequency spectrum based on the optimal tree resolution.
    Sainudiin R; Véber A
    Theor Popul Biol; 2018 Dec; 124():1-15. PubMed ID: 30048667
    [TBL] [Abstract][Full Text] [Related]  

  • 11. The devil in the details: interactions between the branch-length prior and likelihood model affect node support and branch lengths in the phylogeny of the Psoraceae.
    Ekman S; Blaalid R
    Syst Biol; 2011 Jul; 60(4):541-61. PubMed ID: 21436107
    [TBL] [Abstract][Full Text] [Related]  

  • 12. ACG: rapid inference of population history from recombining nucleotide sequences.
    O'Fallon BD
    BMC Bioinformatics; 2013 Feb; 14():40. PubMed ID: 23379678
    [TBL] [Abstract][Full Text] [Related]  

  • 13. LAMARC 2.0: maximum likelihood and Bayesian estimation of population parameters.
    Kuhner MK
    Bioinformatics; 2006 Mar; 22(6):768-70. PubMed ID: 16410317
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Bayesian estimation of scaled mutation rate under the coalescent: a sequential Monte Carlo approach.
    Ogundijo OE; Wang X
    BMC Bioinformatics; 2017 Dec; 18(1):541. PubMed ID: 29216822
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Bayesian phylogenetic inference using DNA sequences: a Markov Chain Monte Carlo Method.
    Yang Z; Rannala B
    Mol Biol Evol; 1997 Jul; 14(7):717-24. PubMed ID: 9214744
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Usefulness of single nucleotide polymorphism data for estimating population parameters.
    Kuhner MK; Beerli P; Yamato J; Felsenstein J
    Genetics; 2000 Sep; 156(1):439-47. PubMed ID: 10978306
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Proceedings of the SMBE Tri-National Young Investigators' Workshop 2005. Coalescent-based estimation of population parameters when the number of demes changes over time.
    Ewing G; Rodrigo A;
    Mol Biol Evol; 2006 May; 23(5):988-96. PubMed ID: 16495347
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A Surrogate Function for One-Dimensional Phylogenetic Likelihoods.
    Claywell BC; Dinh V; Fourment M; McCoy CO; Matsen Iv FA
    Mol Biol Evol; 2018 Jan; 35(1):242-246. PubMed ID: 29029199
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A practical algorithm for estimation of the maximum likelihood ancestral reconstruction error.
    Hickey G; Blanchette M
    Pac Symp Biocomput; 2010; ():31-42. PubMed ID: 19908355
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Phylogeny of Bembidion and related ground beetles (Coleoptera: Carabidae: Trechinae: Bembidiini: Bembidiina).
    Maddison DR
    Mol Phylogenet Evol; 2012 Jun; 63(3):533-76. PubMed ID: 22421212
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.