1 / 3

Homology Graph Clustering Results Analysis

Report on UBC run results including sequence homology graph construction, clustering statistics, and cluster size distribution represented as a histogram. The process involved preprocessing with suffix trees, building the homology graph, and performing clustering using Louvian code.

jerrod
Download Presentation

Homology Graph Clustering Results Analysis

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Summary of results for the UBC runs Step 1) build sequence homology graph Step 2) do clustering on the graph

  2. Clustering output statistics Distribution of clusters by size (histogram) X-axis denotes cluster size bins (e.g., bin “64” shows that 22,444 clusters had size between 33 and 64) Y-axis denotes the number of clusters within each bin.

  3. Performance statistics Step 0) preprocessing usingsuffix trees Step 1) building the homology graph Step 2) clustering was performed using Louvian code

More Related