New support vector machine-based approach over DNA chip data

Author

Madevska-Bogdanova, Ana ; Ackovska, Nevena

Author_Institution

Fac. of Natural Sci. & Math., Ss. Cyril & Methodius Univ., Skopje

fYear

2008

fDate

16-18 Dec. 2008

Firstpage

16

Lastpage

19

Abstract

DNA chip technology is an improved and highly scaled-up version of a 25 year old method to reveal very small changes in several hundreds or even thousands of genes in one step rather than searching one gene at a time. In this paper we used the outcome of this method to recognize the gene functional class cytoplasmic ribosomes, the cell cycle and DNA processing function by their gene expression level, with enforced support vector machines (SVM) by introducing new Kernel, specified for this problem.

Keywords

bioinformatics; cellular biophysics; genetics; lab-on-a-chip; molecular biophysics; pattern recognition; support vector machines; DNA chip data technology; DNA microarray; DNA processing function; Kernel; gene expression level; gene functional class cytoplasmic ribosome; pattern recognition; support vector machine-based approach; Bioinformatics; DNA; Fungi; Gene expression; Genomics; Pattern recognition; RNA; Sampling methods; Support vector machines; Temperature;

fLanguage

English

Publisher

ieee

Conference_Titel

Innovations in Information Technology, 2008. IIT 2008. International Conference on

Conference_Location

Al Ain

Print_ISBN

978-1-4244-3396-4

Electronic_ISBN

978-1-4244-3397-1

Type

conf

DOI

10.1109/INNOVATIONS.2008.4781752

Filename

4781752