A Data Mining Approach for the Detection of High-Risk Breast Cancer Groups

Orlando Anunciação, Bruno C. Gomes, Susana Vinga, Jorge F. Gaspar, Arlindo L. Oliveira, J. Rueff

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

Original languageEnglish
Title of host publicationADVANCES IN BIOINFORMATICS
Pages43-51
Volume74
DOIs
Publication statusPublished - 1 Jan 2010

Publication series

NameAdvances in Intelligent and Soft Computing

Keywords

  • GENOME-WIDE ASSOCIATION
  • EPISTATIC INTERACTIONS
  • TREES

Cite this

Anunciação, O., Gomes, B. C., Vinga, S., Gaspar, J. F., Oliveira, A. L., & Rueff, J. (2010). A Data Mining Approach for the Detection of High-Risk Breast Cancer Groups. In ADVANCES IN BIOINFORMATICS (Vol. 74, pp. 43-51). (Advances in Intelligent and Soft Computing). https://doi.org/10.1007/978-3-642-13214-8_6