QT Clustering using Euclidean Distance, Jackknife Correlation

Some simple MATLAB files that perform QT clustering

Description

QT clustering algorithm as described in:

Heyer, L. J., Kruglyak, S., Yooseph, S. (1999). Exploring expression data: Identification and analysis of coexpressed genes. Genome Research 9, 1106–1115.

http://genome.cshlp.org/content/9/11/1106.full
http://genome.cshlp.org/content/9/11/1106/F5.large.jpg

qtclusteuclid.m - use Euclidean distance as measure
qtclustjacknife.m - use Jackknife Correlation (see article above)
qtclustmod.m - use Euclidean distance, modified to always return 2 clusters.

• MATLAB release: MATLAB 7.6 (R2008a)