The popularity of blogs has been increasing dramatically over the last couple of years. As topics evolve in the blogosphere, keywords align together and form the heart of various ...
Nilesh Bansal, Fei Chiang, Nick Koudas, Frank Wm. ...
Background: Extensive and automated data integration in bioinformatics facilitates the construction of large, complex biological networks. However, the challenge lies in the inter...
Biclustering refers to simultaneously capturing correlations present among subsets of attributes (columns) and records (rows). It is widely used in data mining applications includ...
Background: The most common method of identifying groups of functionally related genes in microarray data is to apply a clustering algorithm. However, it is impossible to determin...
Matthew A. Hibbs, Nathaniel C. Dirksen, Kai Li, Ol...
: The affinity propagation algorithm is applied to various problems of breast and cutaneous tumours subtyping using traditional biologic markers. The algorithm provides a procedure...
Federico Ambrogi, Elena Raimondi, Daniele Soria, P...