GESS

Hierarchical Cluster Analysis is usually used near the end of the microarray data analysis to find groups of variable and individuals that are similar in some way.

The GESS Hierarchical Clustering procedure can be used to obtain a hierarchical clustering for a subset list of genes. A set of eight hierarchical clustering algorithms are available including single linkage, complete linkage, and group average. The procedure outputs lists of the items in each cluster, linkage reports, and a double-dendrogram. The colors and scale of the double-dendrogram are fully customizable.

[Back to GESS Home] [Back to GESS Procedure List]

System Requirements
PASS 2008, NCSS 2007, and GESS 2006 run on 32-bit and 64-bit systems with Windows 7, Vista, XP, 2000, NT, ME, 98, or 95. Requires pentium-class computer with at least 32 MB of RAM. Requires 200 MB of hard disk space. Requires Adobe Reader® version 7 or later to use the NCSS, PASS, and GESS Help Systems.

Accuracy
We at NCSS have put a great deal of effort into finding the most accurate algorithms possible. The programs have been tested and verified over and over, both by us and by our customers. Each routine has been verified against textbooks, journal articles, and, where possible, other software. NCSS is one of the most accurate statistical analysis programs available. NCSS calculates with seventeen-digit, double-precision accuracy.

Guarantee
If you are not completely satisfied with an NCSS product during the first 30 days for any reason, return the program for a full, prompt refund (excluding shipping).