中文
相关论文

相关论文: Identifiability of 2-tree mixtures for group-based…

200 篇论文

Phylogenetic mixture models are statistical models of character evolution allowing for heterogeneity. Each of the classes in some unknown partition of the characters may evolve by different processes, or even along different trees. The…

种群与进化 · 定量生物学 2010-11-19 John A. Rhodes , Seth Sullivant

For a model of molecular evolution to be useful for phylogenetic inference, the topology of evolutionary trees must be identifiable. That is, from a joint distribution the model predicts, it must be possible to recover the tree parameter.…

种群与进化 · 定量生物学 2011-11-09 Elizabeth S. Allman , John A. Rhodes

Identifiability is a crucial property for a statistical model since distributions in the model uniquely determine the parameters that produce them. In phylogenetics, the identifiability of the tree parameter is of particular interest since…

组合数学 · 数学 2019-10-01 Benjamin Hollering , Seth Sullivant

A Profile Mixture Model is a model of protein evolution, describing sequence data in which sites are assumed to follow many related substitution processes on a single evolutionary tree. The processes depend in part on different amino acid…

种群与进化 · 定量生物学 2020-07-07 Samaneh Yourdkhani , Elizabeth S. Allman , John A. Rhodes

Identifiability of phylogenetic models is a necessary condition to ensure that the model parameters can be uniquely determined from data. Mixture models are phylogenetic models where the probability distributions in the model are convex…

种群与进化 · 定量生物学 2025-08-11 Bryson Kagy , Seth Sullivant

Phylogenetic mixtures model the inhomogeneous molecular evolution commonly observed in data. The performance of phylogenetic reconstruction methods where the underlying data is generated by a mixture model has stimulated considerable recent…

种群与进化 · 定量生物学 2007-06-30 Frederick A. Matsen , Mike Steel

We address phylogenetic reconstruction when the data is generated from a mixture distribution. Such topics have gained considerable attention in the biological community with the clear evidence of heterogeneity of mutation rates. In our…

种群与进化 · 定量生物学 2007-05-23 Daniel Stefankovic , Eric Vigoda

Diversification models describe the random growth of evolutionary trees, modeling the historical relationships of species through speciation and extinction events. One class of such models allows for independently changing traits, or types,…

统计理论 · 数学 2022-06-22 Dakota Dragomir , Elizabeth S. Allman , John A. Rhodes

As an alternative to parsimony analyses, stochastic models have been proposed (Lewis, 2001), (Nylander, et al., 2004) for morphological characters, so that maximum likelihood or Bayesian analyses may be used for phylogenetic inference. A…

种群与进化 · 定量生物学 2009-12-20 Elizabeth S. Allman , Mark T. Holder , John A. Rhodes

Phylogenetic mixture models, in which the sites in sequences undergo different substitution processes along the same or different trees, allow the description of heterogeneous evolutionary processes. As data sets consisting of longer…

种群与进化 · 定量生物学 2012-07-17 Elizabeth S. Allman , John A. Rhodes , Seth Sullivant

We prove identifiability of the tree parameters of the 3-class Jukes-Cantor mixture model. The proof uses ideas from algebraic statistics, in particular: finding phylogenetic invariants that separate the varieties associated to different…

种群与进化 · 定量生物学 2014-08-12 Colby Long , Seth Sullivant

Inference of evolutionary trees and rates from biological sequences is commonly performed using continuous-time Markov models of character change. The Markov process evolves along an unknown tree while observations arise only from the tips…

统计理论 · 数学 2008-02-01 Elizabeth S. Allman , Cecile Ane , John A. Rhodes

Distance-based approaches in phylogenetics such as Neighbor-Joining are a fast and popular approach for building trees. These methods take pairs of sequences from them construct a value that, in expectation, is additive under a stochastic…

种群与进化 · 定量生物学 2008-08-21 Mike Steel

Covarion models of character evolution describe inhomogeneities in substitution processes through time. In phylogenetics, such models are used to describe changing functional constraints or selection regimes during the evolution of…

种群与进化 · 定量生物学 2008-05-27 Elizabeth S. Allman , John A. Rhodes

The parameters of many classes of birth-death processes cannot be inferred uniquely from phylogenetic trees: infinitely many parameter combinations yield the same distribution of phylogenetic trees. Here, we show that parameter…

种群与进化 · 定量生物学 2026-04-21 Tobias Dieselhorst , Tanja Stadler

In this paper we study group-based Markov models of evolution and their mixtures. In the algebreo-geometric setting, group-based phylogenetic tree models correspond to toric varieties, while their mixtures correspond to secant and join…

Mixtures of ranking models are standard tools for ranking problems. However, even the fundamental question of parameter identifiability is not fully understood: the identifiability of a mixture model with two Bradley-Terry-Luce (BTL)…

机器学习 · 计算机科学 2022-05-25 Xiaomin Zhang , Xucheng Zhang , Po-Ling Loh , Yingyu Liang

Applying a method to reconstruct a phylogenetic tree from random data provides a way to detect whether that method has an inherent bias towards certain tree `shapes'. For maximum parsimony, applied to a sequence of random 2-state data, each…

种群与进化 · 定量生物学 2014-06-03 Mareike Fischer , Michelle Galla , Lina Herbst , Mike Steel

When hybridization or other forms of lateral gene transfer have occurred, evolutionary relationships of species are better represented by phylogenetic networks than by trees. While inference of such networks remains challenging, several…

种群与进化 · 定量生物学 2024-01-15 Elizabeth S. Allman , Hector Baños , Marina Garrote-Lopez , John A. Rhodes

In this paper we apply new geometric and combinatorial methods to the study of phylogenetic mixtures. The focus of the geometric approach is to describe the geometry of phylogenetic mixture distributions for the two state random cluster…

种群与进化 · 定量生物学 2007-11-08 Frederick A. Matsen , Elchanan Mossel , Mike Steel
‹ 上一页 1 2 3 10 下一页 ›