Recursive ECOC for microarray data classification

  • Authors:
  • Elizabeth Tapia;Esteban Serra;José Carlos González

  • Affiliations:
  • Escuela de Electrónica, Universidad Nacional de Rosario, Argentina;Instituto de Biología Molecular y Celular de Rosario, Rosario, Argentina;Dep. de Ingeniería de Sistemas Telemáticos, Universidad Politécnica de Madrid, España

  • Venue:
  • MCS'05 Proceedings of the 6th international conference on Multiple Classifier Systems
  • Year:
  • 2005

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Abstract

Recursive ECOC (RECOC) classifiers, effectively deals with microarray data complexity by encoding multiclass labels with codewords taken from Low Density Parity Check (LDPC) codes. Not all good LDPC codes result in good microarray data RECOC classifiers. A general scoring method for the identification of promising LDPC codes in the RECOC sense is presented.