Date of Award:
5-2015
Document Type:
Thesis
Degree Name:
Master of Science (MS)
Department:
Mathematics and Statistics
Committee Chair(s)
John R. Stevens
Committee
John R. Stevens
Committee
Daniel C. Coster
Committee
Guifang Fu
Abstract
Microarray chip technology enables researchers to obtain measures of gene activity for essentially all genes in an organism. After grouping genes into biologically meaningful sets, researchers employ certain statistical tests to identify which gene sets (biological processes) show different levels of activity across different treatment groups. The idea is to identify which biological processes are significantly affected by a certain treatment/condition in a given organism.
Non-model organisms (such as sheep) are not widely studied so gene set membership information is not always readily accessible. This thesis work utilizes two microarray studies involving sheep to provide researchers with working examples of three different methods for gathering gene set membership information for genes in non-model organisms.
Often after gathering gene set membership information for non-model organisms, there exits ambiguity as to which set each gene belongs. A procedure for working through these ambiguities is presented. All R code used to produce the presented results is included as an appendix.
Checksum
177f6d97027a700e8e9f771265cba4b7
Recommended Citation
Banks, Russell K., "Annotation Tools for Multivariate Gene Set Testing of Non-Model Organisms" (2015). All Graduate Theses and Dissertations, Spring 1920 to Summer 2023. 4515.
https://digitalcommons.usu.edu/etd/4515
Copyright for this work is retained by the student. If you have any questions regarding the inclusion of this work in the Digital Commons, please email us at .