A new method to forecast of Escherichia coli promoter gene sequences: Integrating feature selection and Fuzzy-AIRS classifier system

We have investigated the real-world task of recognizing biological concepts in DNA sequences in this work. Recognizing promoters in strings that represent nucleotides (one of A, G, T, or C) has been performed using a novel approach based on feature selection (FS) and Artificial Immune Recognition Sy...

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Veröffentlicht in:	Expert systems with applications 2009, Vol.36 (1), p.57-64
Hauptverfasser:	Polat, Kemal, Güneş, Salih
Format:	Artikel
Sprache:	eng
Schlagworte:	10-fold cross-validation AIRS classification system Artificial immune system Escherichia coli promoter gene sequences Feature selection Fuzzy resource allocation mechanism Prediction
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