Microarray Data Analysis and Classification of Cancers

Author

Grant GatesFollow

College

Buchtel College of Arts and Sciences (BCAS)

Date of Last Revision

2023-05-03 14:39:52

Major

Computer Science - Management

Honors Course

3460:498-002

Number of Credits

2

Degree Name

Bachelor of Science

Date of Expected Graduation

Fall 2019

Abstract

When it comes to cancer, there is no standardized approach for identifying new cancer classes nor is there a standardized approach for assigning cancer tumors to existing classes. These two ideas are known as class discovery and class prediction. For a cancer patient to receive proper treatment, it is important that the type of cancer be accurately identified. For my Senior Honors Project, I would like to use this opportunity to research a topic in bioinformatics. Bioinformatics incorporates a few different subjects into one including biology, computer science and statistics. An intricate method for class discovery and class prediction is to use microarray data analysis techniques with gene expression data.

I would like to use this Senior Honors Project as an opportunity to do some research within bioinformatics. Bioinformatics has intrigued me because it takes two of my favorite subjects which are computer science and statistics and blends that with biology. This project also gives me the chance to investigate the use of some interesting algorithms. I will use my research of the different classifiers for microarray data analysis using gene expression to form my own opinion on the most accurate method for class discovery and class prediction.

Research Sponsor

Zhong-Hui Duan

First Reader

Mark Fridline

Second Reader

En Cheng

Honors Faculty Advisor

Timothy O'Neil

Comments

Final Submission

Recommended Citation

Gates, Grant, "Microarray Data Analysis and Classification of Cancers" (2019). Williams Honors College, Honors Research Projects. 1025.
https://ideaexchange.uakron.edu/honors_research_projects/1025