Date of Award
Summer 2017
Rights
Access is available to all users
Document Type
Thesis
Degree Name
Master of Science (MS) in Computer Science
Department
Computer Science
Abstract
Biological exploration on genetic expression and protein synthesis in living organisms is used to discover causal and interactive relationships in biological processes. Current GeneChip microarray technology provides a platform to an- alyze up to 500,000 molecular reactions on a single chip, providing thousands of genetic and protein expression results per test. Using visualization tools and priori knowledge of genetic and protein interactions, visual networks are used to model and analyze the results. The virtual reality environment designed and implemented for this project provides visualization and data modeling tools commonly used in genetic ex- pression data analysis. The software processes normalized genetic profile data from microarray testing results and association information from protein-to- protein databases. The data is modeled using a network of nodes to represent data points and edges to show relationships. This information is visualized in virtual reality and modeled using force directed networking algorithms in a fully explorable environment.
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Recommended Citation
Cotes, Joshua, "GENE EXPRESSION PROSPECTIVE SIMULATION AND ANALYSIS USING DATA MINING AND IMMERSIVE VIRTUAL REALITY VISUALIZATION" (2017). EWU Masters Thesis Collection. 441.
https://dc.ewu.edu/theses/441
