A novel approach to estimation of \(E\). \(coli\) promoter gene sequences: Combining feature selection and least square support vector machine (FS\_LSSVM)

DOI10.1016/j.amc.2007.02.033zbMath1117.92029OpenAlexW1971194241MaRDI QIDQ2383903

Salih Güneş, Kemal Polat

Publication date: 19 September 2007

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2007.02.033

zbMATH Keywords

estimationfeature selectionLSSVM classifier

Mathematics Subject Classification ID

Computing methodologies and applications (68U99) Biochemistry, molecular biology (92C40)

Related Items

Multi-class support vector machine optimized by inter-cluster distance and self-adaptive differential evolution, BacPP: bacterial promoter prediction -- a tool for accurate sigma-factor specific assignment in enterobacteria

Uses Software

• UCI-ml

Cites Work

• Chaos control using least-squares support vector machines
• Unnamed Item