کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
505698 | 864529 | 2007 | 4 صفحه PDF | دانلود رایگان |
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
Journal: Computers in Biology and Medicine - Volume 37, Issue 11, November 2007, Pages 1672–1675