Title :
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
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;
Conference_Titel :
Neural Networks, 1999. IJCNN '99. International Joint Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-5529-6
DOI :
10.1109/IJCNN.1999.836252
