Student
Title
Supervisor
Faculty
Educational Programme
Final Grade
Year of Graduation
Agata Chkheidze
Comparison of Random Trees and Hierarchical Structure of Chromatin Domains
8
2019
The object of research of this work is the graphs - hierarchical trees, describing the domain structure of Hi-C chromatin maps. The purpose of the research is to develop an algorithm for quantitative comparison of such hierarchical trees. In this paper, a quantitative measure of proximity of two hierarchical trees (“distance”) was proposed, an algorithm was developed for its calculation, implemented in a console application in the C ++ programming language.
A detailed statistical analysis of the proposed proximity measure was carried out for random trees of various sizes, correlated trees and trees obtained from each other by a given number of small elementary perturbations. The dependence of distances and their distributions on the parameters of the problem was analyzed, a number of hypotheses about the scaling behavior of the corresponding dependences were put forward.
The results obtained in this work can serve as a basis for comparing the hierarchical trees obtained by analyzing experimental Hi-C maps
A detailed statistical analysis of the proposed proximity measure was carried out for random trees of various sizes, correlated trees and trees obtained from each other by a given number of small elementary perturbations. The dependence of distances and their distributions on the parameters of the problem was analyzed, a number of hypotheses about the scaling behavior of the corresponding dependences were put forward.
The results obtained in this work can serve as a basis for comparing the hierarchical trees obtained by analyzing experimental Hi-C maps
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