Analysis of parametric images derived from genomic sequences using neural network based approaches

Author

Giron, Alain ; Vilain, Joseph ; Serruys, Camille ; Brahmi, Djamel ; Deschavanne, Patrick ; Fertil, Bernard

Author_Institution

Inst. Nat. de la Sante et de la Recherche Med., Paris, France

Volume

5

fYear

1999

fDate

1999

Firstpage

3604

Abstract

The exploration of DNA genomic huge sequences (up to several megabases) needs new kind of data representation allowing robust analyses. With the help of the chaos game representation method (CGR), fractal images can be generated, which allow to observe, at a glance, frequencies of words (small sequences of the four bases: G, A, T, C) in DNA sequences. Classification of CGR images and extraction of main features are the issues addressed in this work, using a classical statistical analysis (principal component analysis) and neural networks grounded on curvilinear component analysis algorithm and Kohonen map

Keywords

DNA; biology computing; data structures; neural nets; principal component analysis; DNA; Kohonen map; chaos game representation; curvilinear component analysis; data representation; fractal images; genomic sequences; neural network; parametric image analysis; principal component analysis; Bioinformatics; Chaos; DNA; Fractals; Genomics; Image analysis; Image generation; Image sequence analysis; Robustness; Sequences;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 1999. IJCNN '99. International Joint Conference on

Conference_Location

Washington, DC

ISSN

1098-7576

Print_ISBN

0-7803-5529-6

Type

conf

DOI

10.1109/IJCNN.1999.836252

Filename

836252