CLIC is web server application for clustering large size of microarray dataset
with high accuracy and automatic determination of cluster number.
CLIC has following features
parallelized computation of sample-wise clustering
automatic determination of the number of clusters
intrinsic normalization of expression values among samples and clusters using the ordinal labeling of a cluster in a sample
evaluation of discovered clusters with cluster homogeneity.
identification and grouping of the common expression profile patterns of genes
visual inspection of discovered clusters and patterns using a heatmap
functional enrichment of each cluster and pattern.
Home: Index page of CLIC. It explains various features of CLIC.
Analysis: Analysis page of CLIC. It also provides example datasets and example outputs.
Tutorial: Explain analysis of CLIC step by step with graphical aid.
Help: Brief description of algorithms used in CLIC.
Contact: E-mail address.
Citation: T. Yun et al., "CLIC: clustering analysis of large microarray datasets with individual dimension-based clustering", Nucl. Acids Res. (2010) 38 (suppl 2): W246-W253