Comparison of data-merging methods with SVM attribute selection and classification in breast cancer gene expression

Vitoantonio Bevilacqua, Paolo Pannarale, Mirko Abbrescia, Claudia Cava, Stefania Tommasi

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

Abstract

DNA microarray data are used to identify genes which could be considered prognostic markers. However, due to the limited sample size of each study, the signatures are unstable in terms of the composing genes and may be limited in terms of performances. Therefore, it is of great interest to integrate different studies thus increasing sample size. In the past, several studies explored the issue of microarray data merging, but the appearance of new techniques and a focus on SVM based classification needed further investigation. We used distant metastasis prediction based on SVM attribute selection and classification to three breast cancer data sets. The results showed that breast cancer classification does not take benefit of data merging, confirming the results found by other studies with different techniques.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages498-507
Number of pages10
Volume6840 LNBI
DOIs
Publication statusPublished - 2011
Event7th International Conference on Intelligent Computing, ICIC 2011 - Zhengzhou, China
Duration: Aug 11 2011Aug 14 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6840 LNBI
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other7th International Conference on Intelligent Computing, ICIC 2011
Country/TerritoryChina
CityZhengzhou
Period8/11/118/14/11

Keywords

  • batch effect
  • breast cancer
  • classification
  • ComBat
  • gene expression
  • MBEI
  • pre-processing
  • RMA
  • SVM

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

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