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