A CNN algorithm for real time analysis of DNA microarrays

Author

Arena, Paolo ; Fortuna, Luigi ; Occhipinti, Luigi

Author_Institution

Dipt. Elettrico, Catania Univ., Italy

Volume

49

Issue

3

fYear

2002

fDate

3/1/2002 12:00:00 AM

Firstpage

335

Lastpage

340

Abstract

The work focuses on a new approach for DNA-chip image processing by using the cellular neural network (CNN) paradigm. In particular, the work aims to solve the main issues in automatic classification and spot validation that arise during an automatic DNA microarray analysis procedure. This contribution briefly presents the basic DNA micro-array technique and the state-of-the-art technologies, and introduces the idea of processing DNA chip data via CNNs, reporting suitable examples. The algorithm described has been developed using a high level language, dedicated to CNN universal machine (CNNUM) chip programming, and validated on a typical fluorescence image from a DNA microarray after hybridization

Keywords

DNA; biological techniques; biology computing; bioluminescence; biotechnology; cellular neural nets; fluorescence; image classification; medical image processing; CNN algorithm; CNN paradigm; CNN universal machine chip programming; CNNUM chip programming; DNA chip data processing; DNA micro-array technique; DNA microarray hybridization; DNA microarrays; DNA-chip image processing; automatic DNA microarray analysis procedure; automatic classification; cellular neural network paradigm; fluorescence image; high level language; real time analysis; spot validation; Algorithm design and analysis; Cellular neural networks; DNA; Diseases; Fluorescence; Gene expression; Genetics; Image processing; Performance analysis; Turing machines;

fLanguage

English

Journal_Title

Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on

Publisher

ieee

ISSN

1057-7122

Type

jour

DOI

10.1109/81.989167

Filename

989167