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Class prediction and pattern discovery in microarray data - Artificial intelligence and algebraic methods

  • Maria Sklodowska-Curie Institute of Oncology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In the paper we present a brief survey of our results in processing of data from DNA microarray experiments obtained in our collaborative research with M.C. Sklodowska Centre of Oncology. Our experience therefore is strictly connected with problems resulting from cancer diagnosis and therapy but many results have more general issue. We focus our attention on three important stages of microarray data processing e.g. class prediction, gene selection and pattern discovery.

Original languageEnglish
Title of host publication2009 1st Asian Conference on Intelligent Information and Database Systems, ACIIDS 2009
Pages57-60
Number of pages4
DOIs
Publication statusPublished - 2009
Event2009 1st Asian Conference on Intelligent Information and Database Systems, ACIIDS 2009 - Dong Hoi, Viet Nam
Duration: 1 Apr 2009 → 3 Apr 2009

Publication series

NameProceedings - 2009 1st Asian Conference on Intelligent Information and Database Systems, ACIIDS 2009

Conference

Conference2009 1st Asian Conference on Intelligent Information and Database Systems, ACIIDS 2009
Country/TerritoryViet Nam
CityDong Hoi
Period1/04/09 → 3/04/09

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Classification
  • DNA microarrays
  • Data mining
  • Intelligent techniques in bioinformatics

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems
  • Software

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