Cluster Analysis using Quantile Plots with Applications in Computational Chemistry
公开可下载的内容
open in viewerThe 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.
- This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.
- Creator
- Publisher
- Identifier
- E-project-101708-055032
- Advisor
- Year
- 2008
- Sponsor
- Date created
- 2008-10-17
- 地点
- Athens
- Resource type
- Major
- Rights statement
- 最新修改
- 2020-11-24
关系
- 属于 Collection:
项目
单件
缩略图 | 标题 | 公开度 | Embargo Release Date | 行动 |
---|---|---|---|---|
081027-Quantile_Clustering_Report.pdf | 公开 | 下载 | ||
Qliinc_with_GLYLIB.zip | 公开 | 下载 |
Permanent link to this page: https://digital.wpi.edu/show/vq27zq12f