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GECCO
2009
Springer

Genetic programming for protein related text classification

8 years 11 months ago
Genetic programming for protein related text classification
Since the genomics revolution, bioinformatics has never been so popular. Many researchers have investigated with great success the use of evolutionary computation in bioinformatics [19] for example in the field of protein folding or determining genome sequences. In this paper, instead of using evolutionary computation as a way to provide new and innovative solutions to complex bioinformatics problems, we use genetic programming as a tool to evolve programs that are able to automatically classify research papers as dealing or not with a given protein. In a second part, we show that the attributes that are selected by the genetic programming evolved programs can be used efficiently for proteins classification. Track: Genetic Programming Categories and Subject Descriptors
Marc Segond, Cyril Fonlupt, Denis Robilliard
Added 16 Aug 2010
Updated 16 Aug 2010
Type Conference
Year 2009
Where GECCO
Authors Marc Segond, Cyril Fonlupt, Denis Robilliard
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