Date of Award
6-27-2007
Degree Type
Dissertation
Degree Name
Doctor of Philosophy (PhD)
Department
Computer Science
First Advisor
Robert W. Harrison - Chair
Second Advisor
Rajshekhar Sunderraman
Third Advisor
Saeid Belkasim
Fourth Advisor
Markus W. Germann
Abstract
Biological data is accumulated at a fast pace. However, raw data are generally difficult to understand and not useful unless we unlock the information hidden in the data. Knowledge/information can be extracted as the patterns or features buried within the data. Thus data mining, aims at uncovering underlying rules, relationships, and patterns in data, has emerged as one of the most exciting fields in computational science. In this dissertation, we develop efficient approaches to the structure pattern analysis of RNA and protein three dimensional structures. The major techniques used in this work include term rewriting and clustering algorithms. Firstly, a new approach is designed to study the interaction of RNA secondary structures motifs using the concept of term rewriting. Secondly, an improved K-means clustering algorithm is proposed to estimate the number of clusters in data. A new distance descriptor is introduced for the appropriate representation of three dimensional structure segments of RNA and protein three dimensional structures. The experimental results show the improvements in the determination of the number of clusters in data, evaluation of RNA structure similarity, RNA structure database search, and better understanding of the protein sequence-structure correspondence.
DOI
https://doi.org/10.57709/1059427
Recommended Citation
Fu, Xuezheng, "Structure Pattern Analysis Using Term Rewriting and Clustering Algorithm." Dissertation, Georgia State University, 2007.
doi: https://doi.org/10.57709/1059427