Title page for E-project-101708-055032

Project Type	MQP
Submission date	2008-10-17
Author	Michael N Tessier, CS
URN	E-project-101708-055032
Sponsor	Woods Research Group at the University of Georgia
Title	Cluster Analysis using Quantile Plots with Applications in Computational Chemistry
Advisor	Heineman, George T, CS
Availability	unrestricted
Abstract The project is about proving that a program can determine the clustering of points in space, with or without the need of a user defined cutoff. The program uses a statistical method called quantile-quantile plots to find clusters of points based on their locations in space. As part of the project, it will be proven that the program can correctly cluster multi-dimensional points regardless of the distances between them. The program will also be used to try determine likely binding sites in carbohydrate-protein docking simulations, and then compare the programs results with results generated by AutoDock versions 3 and 4. The program will also try to and identify molecular epitopes, which can be represented by more than three dimensions.
Files	081027-Quantile_Clustering_Report.pdf Qliinc_with_GLYLIB.zip

Browse by Author | Browse by Department | Search all available E-projects