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High-Throughput GoMiner generates files that are useful for cluster analysis. The purpose of these instructions is to facilitate construction of clustered image maps (CIMs) using CIMminer so that users can both replicate the cluster images found in the High-Throughput GoMiner manuscript, and create similar CIMs constructed from their own data. Note that the current version of HTGM will generate CIM's automatically if CIM generation is selected, and there is sufficient data for the image. This instructions remain here for users who want to understand the process to tailor it.
We refer to CIMs similar to Figure 3 as “trinary” because they contain exactly three values. In particular, the values are -1, 0, and 1.
We refer to CIMs similar to Figure 4 as “continuous” because the entries can assume any floating point values. In this particular instance, the values are all non-negative.
GoMiner™ is a development of the Genomics and Bioinformatics Group, Developmental Therapeutics Branch (DTB), Developmental Therapeutics Program (DTP), Center for Cancer Research (CCR), National Cancer Institute (NCI). We would like to hear from you. You can reach the team via email.
GoMiner was originally developed jointly by the Genomics and Bioinformatics Group (GBG) of LMP, NCI, NIH and the Medical Informatics and Bioimaging group of BME, Georgia Tech/Emory University. It is now maintained and under continuing development by GBG.
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