powerClust is an easy-to-use web application for clustering analysis. It comes with several supervised and unsupervised algorithms to cluster and group heterogeneous data. application to run.
The algorithms supported by powerClust are shown below:
Affinity Propagation
Spectral Clustering
Markov Clustering (MCL)
The main idea behind powerClust project is to provide a strong collection of clustering algorithms that can be applied to various data to address different problems. Ideas of how this software can be useful for biologists for:
Abstract clustering of literature that are related between each other
Microarray clustering
Identification of protein families
Prediction of protein complexes from protein-protein interaction data
Prediction and visualization of homologous proteins
Clustering of heterogeneous data to see connections between clusters
Chemical clustering using Tanimoto distances
....and many many other case studies