A web server for automatic analysis and extraction of relevant biological knowledge

Juan Cedano, Mario Huerta, Irene Estrada, Frederic Ballllosera, Oscar Conchillo, Pedro Delicado, Enrique Querol

Research output: Contribution to journalArticleResearchpeer-review

2 Citations (Scopus)

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. © 2007 Elsevier Ltd. All rights reserved.
Original languageEnglish
Pages (from-to)1672-1675
JournalComputers in Biology and Medicine
Volume37
DOIs
Publication statusPublished - 1 Nov 2007

Keywords

  • Classification
  • Clustering
  • Multivariate analysis
  • Principal curves analysis
  • Web server

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