Walsh-hadamard transform of DNA methylation profile for the classification of human cancer cells

Xueyuan Zhao, Dario Pompili

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The discovery is reported on the low dimension and three step property of transform domain vector of of DNA methylation profile after Walsh-Hadamard Transform. The transform domain vector is unique for particular tissue type, and shows difference between normal and disease cells of the same tissue type. A new human disease cell classification approach is further proposed in this work, and the approach is tested with multiple datasets and classifiers. Results show that the proposed approach can achieve high classification accuracy and has great potential for practical applications.

Original languageEnglish (US)
Title of host publicationProceedings of the 5th International Conference on Bioinformatics and Computational Biology, ICBCB 2017
PublisherAssociation for Computing Machinery
Pages26-29
Number of pages4
ISBN (Electronic)9781450348270
DOIs
StatePublished - Jan 6 2017
Event5th International Conference on Bioinformatics and Computational Biology, ICBCB 2017 - Hong Kong, Hong Kong
Duration: Jan 6 2017Jan 8 2017

Publication series

NameACM International Conference Proceeding Series

Other

Other5th International Conference on Bioinformatics and Computational Biology, ICBCB 2017
Country/TerritoryHong Kong
CityHong Kong
Period1/6/171/8/17

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

Keywords

  • DNA Methylation profile
  • Human cell classification
  • Three-step property
  • Walsh-Hadamard transform

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