Electronic Theses and Dissertations

Identifier

377

Author

Nam Sy Vo

Date

2011

Document Type

Thesis

Degree Name

Master of Science

Major

Bioinformatics

Committee Chair

Vinhthuy T. Phan

Committee Member

Ramin Homayouni

Committee Member

Ebenezer O. George

Abstract

This thesis studies various problems of analyzing microarray data with multiple treatments and multiple replicates using directed graphs. We start from a method that represents gene response as transitive directed acyclic graphs to extract meaningful information from microarray data (Phan et al., 2009). To extend this work, we simulate expressions of genes based on real data and make predictions about potential patterns of genes and their properties. From this, we predict whether such potential patterns are certain if given more replicates. Next, we used fold information which was not used in prior work to cluster genes share the same patterns and thus providing an additional layer of information. Finally, we created a web-based application to help other scientists try our method. The software assigns graphical patterns to genes and outputs images and textual data for further analyses.

Comments

Data is provided by the student.

Library Comment

Dissertation or thesis originally submitted to the local University of Memphis Electronic Theses & dissertation (ETD) Repository.

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