Electronic Theses and Dissertations
Identifier
284
Date
2011
Document Type
Thesis
Degree Name
Master of Science
Major
Bioinformatics
Committee Chair
Mohammed Yeasin
Committee Member
Ramin Homayouni
Committee Member
Ebenezer Olusegun George
Committee Member
Robert Williams
Abstract
The aim of this study is to develop scalable and efficient literature-mining framework for knowledge discovery in the field of medical and biological sciences. Using this scalable framework, customized disease-disease interaction network can be constructed. Features of the proposed network that differentiate it from existing networks are its 1) flexibility in the level of abstraction, 2) broad coverage, and 3) domain specificity. Empirical results for two neurological diseases have shown the utility of the proposed framework. The second goal of this study is to design and implement a bottom-up information retrieval approach to facilitate literature-mining in the specialized field of medical genetics. Experimental results are being corroborated at the moment.
Library Comment
Dissertation or thesis originally submitted to the local University of Memphis Electronic Theses & dissertation (ETD) Repository.
Recommended Citation
Abedi, Vida, "Knowledge Discovery Through Large-Scale Literature-Mining of Biological Text-Data" (2011). Electronic Theses and Dissertations. 217.
https://digitalcommons.memphis.edu/etd/217
Comments
Data is provided by the student.