9 March 1999 Application of curvilinear component analysis to chaos game representation images of genome
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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.
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Joseph Vilain, Joseph Vilain, Alain Giron, Alain Giron, Djamel Brahmi, Djamel Brahmi, Patrick Deschavanne, Patrick Deschavanne, Bernard Fertil, 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); doi: 10.1117/12.341111; https://doi.org/10.1117/12.341111
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