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Acevedo-Mosqueda M.E.,Escuela Superior de Ingenieria Mecanica y Electrica del IPN | Acevedo-Mosqueda M.A.,Escuela Superior de Ingenieria Mecanica y Electrica del IPN
Revista Mexicana de Ingenieria Biomedica | Year: 2012

Protein subcellular localization is fundamental for understanding its biological function. Proteins are transported to specified cellular elements before they are synthesized. They are part of cellular activity and their function is efficient when they are in the right place. Therefore, genes (codified as proteins) localization into the cell becomes a key task. In this work, a method to localize automatically proteins into the cell is presented; as a particular case, the method was applied to the dataset GENES. The proposal has an associative approach and the specific model of alpha-beta associative multi-memories is applied. The effectiveness of the model was of 97.99%, which means that from 748 genes, the method was not able to localize 14 genes.


Acevedo M.E.,Escuela Superior de Ingenieria Mecanica y Electrica del IPN | Martinez J.A.,Escuela Superior de Ingenieria Mecanica y Electrica del IPN | Acevedo M.A.,Escuela Superior de Ingenieria Mecanica y Electrica del IPN | Yanez C.,Research Center en Computacion Del
Applied Mathematics and Information Sciences | Year: 2014

This work describes a novel method for encrypting gray-scale images using an associative approach. The image is divided in blocks which are used to build max and min Morphological associative memories. The key is private and it depends on the number of blocks. The main advantage of this method is that the cyphertext does not have the same size than the original image; therefore, since the beginning the adversary cannot know what the image means. © 2014 NSP Natural Sciences Publishing Cor.

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