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Elizabeth S Allman

Showing results (11-20 of 37) with videos related to

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Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|May 7, 2021
Parameter Identifiability for a Profile Mixture Model of Protein EvolutionSamaneh Yourdkhani, Elizabeth S Allman, John A Rhodes
Journal of Mathematical Biology|April 7, 2022
Identifiability of species network topologies from genomic sequences using the logDet distanceElizabeth S Allman, Hector Baños, John A Rhodes
Algorithms for Molecular Biology : AMB|December 13, 2019
NANUQ: a method for inferring species networks from gene trees under the coalescent modelElizabeth S Allman, Hector Baños, John A Rhodes
Systematic Biology|July 17, 2012
When do phylogenetic mixture models mimic other phylogenetic models?Elizabeth S Allman, John A Rhodes, Seth Sullivant
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|February 6, 2023
Parameter Identifiability of a Multitype Pure-Birth Model of SpeciationDakota Dragomir, Elizabeth S Allman, John A Rhodes
Journal of Mathematical Biology|July 24, 2010
Identifying the rooted species tree from the distribution of unrooted gene trees under the coalescentElizabeth S Allman, James H Degnan, John A Rhodes
IEEE/ACM Transactions on Computational Biology and Bioinformatics|January 24, 2017
Species Tree Inference from Gene Splits by Unrooted STAR MethodsElizabeth S Allman, James H Degnan, John A Rhodes
Electronic Journal of Statistics|November 9, 2020
Hypothesis testing near singularities and boundariesJonathan D Mitchell, Elizabeth S Allman, John A Rhodes
Journal of Theoretical Biology|December 17, 2009
Estimating trees from filtered data: identifiability of models for morphological phylogeneticsElizabeth S Allman, Mark T Holder, John A Rhodes
Journal of Theoretical Biology|August 27, 2011
Determining species tree topologies from clade probabilities under the coalescentElizabeth S Allman, James H Degnan, John A Rhodes
Pageof 4

Showing results (11-20 of 37) with videos related to

Sort By:
Pageof 4
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|May 7, 2021
Parameter Identifiability for a Profile Mixture Model of Protein EvolutionSamaneh Yourdkhani, Elizabeth S Allman, John A Rhodes
Journal of Mathematical Biology|April 7, 2022
Identifiability of species network topologies from genomic sequences using the logDet distanceElizabeth S Allman, Hector Baños, John A Rhodes
Algorithms for Molecular Biology : AMB|December 13, 2019
NANUQ: a method for inferring species networks from gene trees under the coalescent modelElizabeth S Allman, Hector Baños, John A Rhodes
Systematic Biology|July 17, 2012
When do phylogenetic mixture models mimic other phylogenetic models?Elizabeth S Allman, John A Rhodes, Seth Sullivant
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|February 6, 2023
Parameter Identifiability of a Multitype Pure-Birth Model of SpeciationDakota Dragomir, Elizabeth S Allman, John A Rhodes
Journal of Mathematical Biology|July 24, 2010
Identifying the rooted species tree from the distribution of unrooted gene trees under the coalescentElizabeth S Allman, James H Degnan, John A Rhodes
IEEE/ACM Transactions on Computational Biology and Bioinformatics|January 24, 2017
Species Tree Inference from Gene Splits by Unrooted STAR MethodsElizabeth S Allman, James H Degnan, John A Rhodes
Electronic Journal of Statistics|November 9, 2020
Hypothesis testing near singularities and boundariesJonathan D Mitchell, Elizabeth S Allman, John A Rhodes
Journal of Theoretical Biology|December 17, 2009
Estimating trees from filtered data: identifiability of models for morphological phylogeneticsElizabeth S Allman, Mark T Holder, John A Rhodes
Journal of Theoretical Biology|August 27, 2011
Determining species tree topologies from clade probabilities under the coalescentElizabeth S Allman, James H Degnan, John A Rhodes
Pageof 4