A web server for automatic analysis and extraction of relevant biological knowledge
- PMID: 17531966
- DOI: 10.1016/j.compbiomed.2007.03.008
A web server for automatic analysis and extraction of relevant biological knowledge
Abstract
Motivation: This application aims at assisting researchers with the extraction of significant medical and biological knowledge from data sets with complex relationships among their variables.
Results: Non-hypothesis-driven approaches like Principal Curves of Oriented Points (PCOP) are a very suitable method for this objective. PCOP allows for obtaining of a representative pattern from a huge quantity of data of independent variables in a very flexible and direct way. A web server has been designed to automatically realize 'non-linear pattern' analysis, 'hidden-variable-dependent' clustering, and new samples 'local-dispersion-dependent' classification from the data involving new statistical techniques using the PCOP calculus. The tools facilitate the managing, comparison and visualization of results in a user-friendly graphical interface.
Availability: http://ibb.uab.es/revresearch.
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