Masters Theses

Abstract

"Microarray technology is increasingly used as a means of high throughput analysis of human, non-human and plant genomes. Manual methods of array production have inherent imperfections and variations of the quality of output data derived from these arrays. A dynamic programming-based approach is presented to validate the quality of such data prior to insertion into evolving databases in order to assign reliably, genetic aberrations to bio-medical functions. Dynamic programming is used for comparing normal and tumor microarray image pairs and a cost function is developed which gives a value representing the difference between the images. Quality of the image pairs is determined from this cost value. Dynamic programming makes it possible to have a backward solution, which is used as the basis for developing the image registration algorithm. The image registration technique provides for an optimal alignment of the image pairs. The aligned image pairs help in further analysis of the spot-to-spot comparison between the two images to detect specific genetic expressions that could be related to bio-medical functions"--Abstract, p. iii

Advisor(s)

Dr. R. Joe Stanley

Committee Member(s)

Dr. Randy H. Moss
Dr. Cihan H. Dagli

Department(s)

Electrical and Computer Engineering

Degree Name

M.S. in Computer Engineering

Publisher

University of Missouri--Rolla

Publication Date

Summer 2001

Pagination

ix, 74 pages

Note about bibliography

Includes bibliographical references (pages 72-73)

Rights

© 2001 Sunil Bosco Rodriges, All rights reserved.

Document Type

Thesis - Open Access

File Type

text

Language

English

Thesis Number

T 7958

Print OCLC #

48271047

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