125 related articles for article (PubMed ID: 29462627)
1. Embeddability of Kimura 3ST Markov matrices.
Roca-Lacostena J; Fernández-Sánchez J
J Theor Biol; 2018 May; 445():128-135. PubMed ID: 29462627
[TBL] [Abstract][Full Text] [Related]
2. Embeddability and rate identifiability of Kimura 2-parameter matrices.
Casanellas M; Fernández-Sánchez J; Roca-Lacostena J
J Math Biol; 2020 Mar; 80(4):995-1019. PubMed ID: 31705189
[TBL] [Abstract][Full Text] [Related]
3. The model-specific Markov embedding problem for symmetric group-based models.
Ardiyansyah M; Kosta D; Kubjas K
J Math Biol; 2021 Sep; 83(3):33. PubMed ID: 34499233
[TBL] [Abstract][Full Text] [Related]
4. Embeddability of centrosymmetric matrices capturing the double-helix structure in natural and synthetic DNA.
Ardiyansyah M; Kosta D; Roca-Lacostena J
J Math Biol; 2023 Apr; 86(5):69. PubMed ID: 37017794
[TBL] [Abstract][Full Text] [Related]
5. The embedding problem for markov models of nucleotide substitution.
Verbyla KL; Yap VB; Pahwa A; Shao Y; Huttley GA
PLoS One; 2013; 8(7):e69187. PubMed ID: 23935949
[TBL] [Abstract][Full Text] [Related]
6. Lie Markov models.
Sumner JG; Fernández-Sánchez J; Jarvis PD
J Theor Biol; 2012 Apr; 298():16-31. PubMed ID: 22212913
[TBL] [Abstract][Full Text] [Related]
7. Identifying evolutionary trees and substitution parameters for the general Markov model with invariable sites.
Allman ES; Rhodes JA
Math Biosci; 2008 Jan; 211(1):18-33. PubMed ID: 17964612
[TBL] [Abstract][Full Text] [Related]
8. Counting labeled transitions in continuous-time Markov models of evolution.
Minin VN; Suchard MA
J Math Biol; 2008 Mar; 56(3):391-412. PubMed ID: 17874105
[TBL] [Abstract][Full Text] [Related]
9. Distinguishing level-1 phylogenetic networks on the basis of data generated by Markov processes.
Gross E; van Iersel L; Janssen R; Jones M; Long C; Murakami Y
J Math Biol; 2021 Sep; 83(3):32. PubMed ID: 34482446
[TBL] [Abstract][Full Text] [Related]
10. Hadamard conjugation for the Kimura 3ST model: combinatorial proof using path sets.
Hendy MD; Snir S
IEEE/ACM Trans Comput Biol Bioinform; 2008; 5(3):461-71. PubMed ID: 18670048
[TBL] [Abstract][Full Text] [Related]
11. Markov-modulated Markov chains and the covarion process of molecular evolution.
Galtier N; Jean-Marie A
J Comput Biol; 2004; 11(4):727-33. PubMed ID: 15579241
[TBL] [Abstract][Full Text] [Related]
12. Lie-Markov Models Derived from Finite Semigroups.
Sumner JG; Woodhams MD
Bull Math Biol; 2019 Feb; 81(2):361-383. PubMed ID: 30073568
[TBL] [Abstract][Full Text] [Related]
13. The algebra of the general Markov model on phylogenetic trees and networks.
Sumner JG; Holland BR; Jarvis PD
Bull Math Biol; 2012 Apr; 74(4):858-80. PubMed ID: 21975643
[TBL] [Abstract][Full Text] [Related]
14. Lie geometry of 2×2 Markov matrices.
Sumner JG
J Theor Biol; 2013 Jun; 327():88-90. PubMed ID: 23402954
[No Abstract] [Full Text] [Related]
15. Identifiability of parameters in MCMC Bayesian inference of phylogeny.
Rannala B
Syst Biol; 2002 Oct; 51(5):754-60. PubMed ID: 12396589
[TBL] [Abstract][Full Text] [Related]
16. Codon and rate variation models in molecular phylogeny.
Schadt E; Lange K
Mol Biol Evol; 2002 Sep; 19(9):1534-49. PubMed ID: 12200481
[TBL] [Abstract][Full Text] [Related]
17. Evolutionary models for insertions and deletions in a probabilistic modeling framework.
Rivas E
BMC Bioinformatics; 2005 Mar; 6():63. PubMed ID: 15780137
[TBL] [Abstract][Full Text] [Related]
18. Markov invariants, plethysms, and phylogenetics.
Sumner JG; Charleston MA; Jermiin LS; Jarvis PD
J Theor Biol; 2008 Aug; 253(3):601-15. PubMed ID: 18513747
[TBL] [Abstract][Full Text] [Related]
19. Bayesian selection of continuous-time Markov chain evolutionary models.
Suchard MA; Weiss RE; Sinsheimer JS
Mol Biol Evol; 2001 Jun; 18(6):1001-13. PubMed ID: 11371589
[TBL] [Abstract][Full Text] [Related]
20. Non-Markovian effects on protein sequence evolution due to site dependent substitution rates.
Rizzato F; Rodriguez A; Laio A
BMC Bioinformatics; 2016 Jun; 17():258. PubMed ID: 27342318
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
