Bio-medical Ontologies Maintenance and Change Management

208 I.R. Godínez et al.
whole fundamental set. This is then used to build the alpha-beta heteroassociative
multimemories, foundation of the new pattern classifier, the alphabeta
multimemories classifier.
This new classifier is shown, through an experimental analysis, to exhibit
a competitive classification performance in the tasks of promoter identification
and splice-junction zone localization, even surpassing most of the best
classifiers in these tasks, currently present in scientific literature.
This competitive performance presents the opportunity to apply the AB-
MMC algorithm to other tasks in Bioinformatics, with foreseeable competitive
results.
On the other hand, since not all the comparisons were favorable, it remains
as future work to improve the classifier and better tune it to the tasks and
databases on which it was tested here.
Acknowledgements. The authors would like to thank the Instituto
Politécnico Nacional (Secretaría Académica, COFAA, SIP, and CIC), the
CONACyT, and SNI for their economical support to develop this work.
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