Identifiability of parameters in latent structure models with many observed variables ES Allman, C Matias, JA Rhodes | 661 | 2009 |
Mathematical models in biology: an introduction ES Allman, JA Rhodes Cambridge University Press, 2004 | 383 | 2004 |
Phylogenetic ideals and varieties for the general Markov model ES Allman, JA Rhodes Advances in Applied Mathematics 40 (2), 127-148, 2008 | 192 | 2008 |
Identifying the rooted species tree from the distribution of unrooted gene trees under the coalescent ES Allman, JH Degnan, JA Rhodes Journal of mathematical biology 62, 833-862, 2011 | 165 | 2011 |
Phylogenetic invariants for the general Markov model of sequence mutation ES Allman, JA Rhodes Mathematical biosciences 186 (2), 113-144, 2003 | 142 | 2003 |
Relativistic velocity space, Wigner rotation and Thomas precession JA Rhodes, MD Semon arXiv preprint gr-qc/0501070, 2005 | 136 | 2005 |
The identifiability of tree topology for phylogenetic models, including covarion and mixture models ES Allman, JA Rhodes Journal of Computational Biology 13 (5), 1101-1113, 2006 | 92 | 2006 |
Identifiability of a Markovian model of molecular evolution with gamma-distributed rates ES Allman, C Ané, JA Rhodes Advances in Applied Probability 40 (1), 229-249, 2008 | 75 | 2008 |
A concise proof of Kruskal’s theorem on tensor decomposition JA Rhodes Linear Algebra and its Applications 432 (7), 1818-1824, 2010 | 72 | 2010 |
NANUQ: a method for inferring species networks from gene trees under the coalescent model ES Allman, H Baños, JA Rhodes Algorithms for Molecular Biology 14, 1-25, 2019 | 71 | 2019 |
Parameter identifiability in a class of random graph mixture models ES Allman, C Matias, JA Rhodes Journal of Statistical Planning and Inference 141 (5), 1719-1736, 2011 | 59 | 2011 |
Identifiability of two-tree mixtures for group-based models ES Allman, S Petrović, JA Rhodes, S Sullivant IEEE/ACM transactions on computational biology and bioinformatics 8 (3), 710-722, 2010 | 57 | 2010 |
Phylogenetic invariants ES Allman, JA Rhodes Reconstructing evolution: new mathematical and computational advances, 108-146, 2007 | 56 | 2007 |
Identifiability of large phylogenetic mixture models JA Rhodes, S Sullivant Bulletin of mathematical biology 74, 212-231, 2012 | 54 | 2012 |
Identifying evolutionary trees and substitution parameters for the general Markov model with invariable sites ES Allman, JA Rhodes Mathematical Biosciences 211 (1), 18-33, 2008 | 52 | 2008 |
Tensors of nonnegative rank two ES Allman, JA Rhodes, B Sturmfels, P Zwiernik Linear algebra and its applications 473, 37-53, 2015 | 48 | 2015 |
Species tree inference from gene splits by unrooted STAR methods ES Allman, JH Degnan, JA Rhodes IEEE/ACM transactions on computational biology and bioinformatics 15 (1 …, 2016 | 43 | 2016 |
MSCquartets 1.0: quartet methods for species trees and networks under the multispecies coalescent model in R JA Rhodes, H Baños, JD Mitchell, ES Allman Bioinformatics 37 (12), 1766-1768, 2021 | 39 | 2021 |
A semialgebraic description of the general Markov model on phylogenetic trees ES Allman, JA Rhodes, A Taylor SIAM Journal on Discrete Mathematics 28 (2), 736-755, 2014 | 36 | 2014 |
Split scores: a tool to quantify phylogenetic signal in genome-scale data ES Allman, LS Kubatko, JA Rhodes Systematic Biology 66 (4), 620-636, 2017 | 35 | 2017 |