QT Clustering using Euclidean Distance, Jackknife Correlation 1.0

Date Added: July 12, 2013 | Visits: 275

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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, 1106d-deOCt1115.http://genome.cshlp.org/content/9/11/1106.fullhttp://genome.cshlp.org/content/9/11/1106/F5.large.jpgqtclusteuclid.m - use Euclidean distance as measureqtclustjacknife.m - use Jackknife Correlation (see article above)qtclustmod.m - use Euclidean distance, modified to always return 2 clusters.

Requirements: No special requirements

Platforms: Matlab

Keyword: Article, Clusters, Correlation, Distance, Euclidean, Jackknife, Measure, Qtclustjacknifem, Return

Users rating: 0/10

License: Shareware

Size: 10 KB

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