Publication Date
2007
Document Type
Thesis
Committee Members
Mateen Rizki (Advisor)
Degree Name
Master of Science (MS)
Abstract
This thesis presents a software system for the analysis of microarray data. Microarrays are a relatively new technology that can be used to examine the state of the genome of an organism at some instant in time. The challenge is the amount of natural variation in biological systems limits our ability to identify specific genes that may be sensitive to changes in an organism's physiology or its environment. The analysis software consists of three modules. The first module filters microarray data to reduce the complexity of the problem. The second module selects subsets of genes for evaluation using a genetic algorithm. The final module uses a neural network to evaluate the selected genes to predict an organism's level of exposure to toxic substance. Results are present for a data set consisting of subjects exposed to eight levels of α-naphthylisothiocyanate (ANIT), a model hepatotoxin causing liver damage in the form of intrahepatic cholestasis.
Page Count
53
Department or Program
Department of Computer Science
Year Degree Awarded
2007
Copyright
Copyright 2007, all rights reserved. This open access ETD is published by Wright State University and OhioLINK.
