Literature DB >> 6512853

New classification methods of branching patterns.

J Van Pelt, R W Verwer.   

Abstract

Binary branching patterns are described in this paper by their topological structure. The statistical properties of these structures appear to be highly dependent on their growth patterns. As such, observed trees may be used for testing growth models. This paper describes three options in the construction of frequency distributions of topological parameters and their corresponding probability distributions, arising from the terminal and segmental growth models. The construction of these distributions makes the analysis of observed tree structures possible in those experimental conditions where small numbers of observations or differing sizes of trees would form serious obstacles to alternative analytical procedures.

Mesh:

Year:  1984        PMID: 6512853     DOI: 10.1111/j.1365-2818.1984.tb02543.x

Source DB:  PubMed          Journal:  J Microsc        ISSN: 0022-2720            Impact factor:   1.758


  2 in total

1.  A stochastic dynamical model for the characterization of the geometrical structure of dendritic processes.

Authors:  W Kliemann
Journal:  Bull Math Biol       Date:  1987       Impact factor: 1.758

2.  Growth models (including terminal and segmental branching) for topological binary trees.

Authors:  J Van Pelt; R W Verwer
Journal:  Bull Math Biol       Date:  1985       Impact factor: 1.758

  2 in total

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