Application of curvilinear component analysis to chaos game representation images of genome

Joseph Vilain; Alain Giron; Djamel Brahmi; Patrick Deschavanne; Bernard Fertil

doi:10.1117/12.341111

9 March 1999 Application of curvilinear component analysis to chaos game representation images of genome

Joseph Vilain, Alain Giron, Djamel Brahmi, Patrick Deschavanne, Bernard Fertil

Proceedings Volume 3647, Applications of Artificial Neural Networks in Image Processing IV; (1999) https://doi.org/10.1117/12.341111
Event: Electronic Imaging '99, 1999, San Jose, CA, United States

Abstract

Curvilinear component analysis (CCA) is performed by an original self-organized neural network, which provides a convenient approach for dimension reduction and data exploration. It consists in a non-linear, preserving distances projection of a set of quantizing vectors describing the input space. The CCA technique is applied to the analysis of CGR fractal images of DNA sequences from different species. The CGR method produces images where pixels represent frequency of small sequences of bases revealing nested patterns in DNA sequences.

Citation Download Citation

Joseph Vilain, Alain Giron, Djamel Brahmi, Patrick Deschavanne, and Bernard Fertil "Application of curvilinear component analysis to chaos game representation images of genome", Proc. SPIE 3647, Applications of Artificial Neural Networks in Image Processing IV, (9 March 1999); https://doi.org/10.1117/12.341111

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available