Class Prediction and Pattern Discovery in Microarray Data - Artificial Intelligence and Algebraic Methods

Author

Swierniak, Andrzej ; Fujarewicz, Krzysztof ; Simek, Krzysztof ; Swierniak, Michal

Author_Institution

M.C. Sklodowska Centre of Oncology, Silesian Univ. of Technol., Gliwice, Poland

fYear

2009

fDate

1-3 April 2009

Firstpage

57

Lastpage

60

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.

Keywords

algebra; artificial intelligence; biocomputing; cancer; groupware; medical computing; patient care; patient diagnosis; pattern recognition; DNA microarray experiments; algebraic methods; artificial intelligence; cancer diagnosis; cancer therapy; class prediction; collaborative research; microarray data; pattern discovery; Artificial intelligence; Bioinformatics; Cancer; DNA; Gene expression; Genomics; Medical treatment; Oncology; Support vector machine classification; Support vector machines; DNA microarrays; Intelligent techniques in bioinformatics; classification; data mining;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Information and Database Systems, 2009. ACIIDS 2009. First Asian Conference on

Conference_Location

Dong Hoi

Print_ISBN

978-0-7695-3580-7

Type

conf

DOI

10.1109/ACIIDS.2009.67

Filename

5175967