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How spatial heterogeneity shapes multiscale biochemical reaction network dynamics.

Author(s): Pfaffelhuber P, Popovic L

J R Soc Interface. 2015 Mar 06;12(104):20141106 Authors: Pfaffelhuber P, Popovic L

Article GUID: 25652460
Topology and inference for Yule trees with multiple states.

Author(s): Popovic L, Rivas M

J Math Biol. 2016 11;73(5):1251-1291 Authors: Popovic L, Rivas M

Article GUID: 27009067
Title:Topology and inference for Yule trees with multiple states.
Authors:Popovic L,  Rivas M
Link:https://www.ncbi.nlm.nih.gov/pubmed/27009067?dopt=Abstract
DOI:10.1007/s00285-016-0992-6
Category:J Math Biol
PMID:27009067
Dept Affiliation: MATHSTATS
1 Department of Mathematics and Statistics, Concordia University, Montreal, QC, H3G 1M8, Canada. lea.popovic@concordia.ca.
2 Department of Mathematics and Statistics, Concordia University, Montreal, QC, H3G 1M8, Canada.

Description:

Topology and inference for Yule trees with multiple states.

J Math Biol. 2016 11;73(5):1251-1291

Authors: Popovic L, Rivas M

Abstract

We introduce two models for random trees with multiple states motivated by studies of trait dependence in the evolution of species. Our discrete time model, the multiple state ERM tree, is a generalization of Markov propagation models on a random tree generated by a binary search or 'equal rates Markov' mechanism. Our continuous time model, the multiple state Yule tree, is a generalization of the tree generated by a pure birth or Yule process to the tree generated by multi-type branching processes. We study state dependent topological properties of these two random tree models. We derive asymptotic results that allow one to infer model parameters from data on states at the leaves and at branch-points that are one step away from the leaves.

PMID: 27009067 [PubMed - indexed for MEDLINE]