Information
| Title: | Cluster Analysis and Visualization-http://rana.lbl.gov/EisenSoftware.htm |
| Description: | Cluster Analysis and Visualization - Perform a variety of types of cluster analysis and other types of processing on large microarray datasets. Currently includes hierarchical clustering, self-organizing maps (SOMs), k-means clustering, principal component analysis.Hierarchical clustering methods described in Eisen et al. (1998) PNAS 95:14863. |
| Category: | Genetics: Microarray |
| Number Hits: | 1 |