GEMS -- a web server for biclustering analysis of expression data
What you can do:
Perform biclustering of microarray data.
Highlights:
- Biclustering is a natural methodology as a screen for genes that are functionally related, participate in the same pathways, affected by the same drug or pathological condition, or genes that form modules that are potentially co-regulated by a small group of transcription factors.
- GEMS (Gene Expression Mining Server) was developed for biclustering microarray data.
- Users may upload expression data and specify a set of criteria. GEMS then performs bicluster mining based on a Gibbs sampling paradigm.
- The web server provides a flexible and an useful platform for the discovery of co-expressed and potentially co-regulated gene modules.
Keywords:
- gene expression data analysis tool
- microarray data analysis tool
- gene expression profiling tool
- biclustering gene expression data
- co-clustering gene expression data
- cluster analysis tool
Literature & Tutorials:
This record last updated: 12-20-2005