title: A web server for automatic analysis and extraction of relevant biological knowledge.
abstract: BACKGROUND
  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.
  
  
  BACKGROUND
  http://ibb.uab.es/revresearch.
authors.affiliation: Institut de Biotecnologia i Biomedicina and Departament de Bioquímica i Biología Molecular, UAB, Spain. jcedano@servet.uab.es
authors.forename: Juan
authors.initials: J
authors.lastname: Cedano
authors.forename: Mario
authors.initials: M
authors.lastname: Huerta
authors.forename: Irene
authors.initials: I
authors.lastname: Estrada
authors.forename: Frederic
authors.initials: F
authors.lastname: Ballllosera
authors.forename: Oscar
authors.initials: O
authors.lastname: Conchillo
authors.forename: Pedro
authors.initials: P
authors.lastname: Delicado
authors.forename: Enrique
authors.initials: E
authors.lastname: Querol
mesh_terms: D000465:Algorithms; D016000:Cluster Analysis; D020407:Internet; D051188:Knowledge Bases; D015999:Multivariate Analysis; D017711:Nonlinear Dynamics; D012984:Software