2024-03-28T18:07:25Zhttps://gredos.usal.es/oai/requestoai:gredos.usal.es:10366/1343812022-02-07T15:34:53Zcom_10366_122575com_10366_4512com_10366_3823col_10366_134243
An adaptive algorithm for feature selection in pattern recognition
de Paz Santana, Juan F.
Rodríguez González, Sara
López, Vivian
Bajo Pérez, Javier
Computer Science
With the most recent advances in bioinformatics, the amount of information available for analysing certain diseases has increased considerably. Specifically, the use of microarrays makes it possible to obtain information on genetic patterns. The analysis of this information requires the use of new computational models and the modification of existing models so that it becomes possible to work with such an elevated amount of data. This study will demonstrate the integration of an expression analysis in a case-based reasoning system that can apply data mining techniques to classify and obtain patterns that have been stored in a case database for leukaemia patients.
2017-09-05T11:01:42Z
2017-09-05T11:01:42Z
2011
info:eu-repo/semantics/article
International Journal of Computer Mathematics. Volumen 88 (9), pp. 1932-1940. Informa UK Limited.
0020-7160 (Print) / 1029-0265 (Online)
http://hdl.handle.net/10366/134381
en
info:eu-repo/semantics/openAccess
application/pdf
Informa UK Limited