Advisor Information
Kate Cooper
Presentation Type
Poster
Start Date
1-3-2019 10:45 AM
End Date
1-3-2019 12:00 PM
Abstract
In Bioinformatics, choosing the right algorithm for a problem is very important. Choosing the wrong algorithm or one that is less efficient can make or break a project. Analyzing algorithms beforehand is key. The goal of this project is to analyze three clustering algorithms for protein protein interaction networks and compare their function and results. A clustering algorithm takes a dataset, in this case a simulated PPI (protein-protein interaction) network and groups together similar data points based on some similarity criteria. It is important to know the difference between these algorithms to get the desired results.
Files over 3MB may be slow to open. For best results, right-click and select "save as..."
Included in
Analysis of Clustering Algorithms
In Bioinformatics, choosing the right algorithm for a problem is very important. Choosing the wrong algorithm or one that is less efficient can make or break a project. Analyzing algorithms beforehand is key. The goal of this project is to analyze three clustering algorithms for protein protein interaction networks and compare their function and results. A clustering algorithm takes a dataset, in this case a simulated PPI (protein-protein interaction) network and groups together similar data points based on some similarity criteria. It is important to know the difference between these algorithms to get the desired results.