Indentification of functional sequences using associative memories

Autores/as

  • Israel Román Godínez Laboratorio de Redes Neuronales y Cómputo no Convencional, Centro de Investigación en Computación, Instituto Politécnico Nacional, México, D.F.
  • C Garibay Orijel Laboratorio de Bioingeniería, Unidad Profesional Interdisciplinaria de Biotecnología Instituto Politécnico Nacional, México, D.F.
  • C Yañez Márquez Laboratorio de Bioingeniería, Unidad Profesional Interdisciplinaria de Biotecnología Instituto Politécnico Nacional, México, D.F.

Resumen

 

The identification and discrimination of functional sequences or mutations is very helpful in the medical area. Promoter and splice-junction identification, gene finding, DNA or Aminoacid database searching are some examples. Pattern recognition algorithms are candidates to perform this tasks. In this work we present a model, based on AlphaBeta associative memory and NeedlemanWunsch algorithm, to correctly recall altered version of learning patterns with one or more of the following modifications: insertions, deletions, and mutations, very common alterations in DNA and Aminoacid sequences. Moreover, this model preserve one of the most important advantages in associative memories, the correct recall of the fundamental set. To test the performance of the algorithm on bioinformatics and biomedical applications, the model presented here was tested using two datasets; one from the UCI repository; refered to promoter identification and the second one to using the genome of the Variovorax paradoxus organism obtained from the NCBI repository

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Publicado

2018-02-19

Cómo citar

Román Godínez, I., Garibay Orijel, C., & Yañez Márquez, C. (2018). Indentification of functional sequences using associative memories. Revista Mexicana De Ingenieria Biomedica, 32(2), 10. Recuperado a partir de https://rmib.mx/index.php/rmib/article/view/461

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Artículos de Investigación

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