학술논문
Analysis of parametric images derived from genomic sequences using neural network based approaches
Document Type
Conference
Author
Source
IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339) Neural networks Neural Networks, 1999. IJCNN '99. International Joint Conference on. 5:3604-3608 vol.5 1999
Subject
Language
ISSN
1098-7576
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.