Share Email Print
cover

Proceedings Paper

Feature selection from short amino acid sequences in phosphorylation prediction problem
Author(s): Jakub Węcławski; Stanisław Jankowski; Zbigniew Szymański
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

The paper describes solution of feature selection from amino acid sequences in phosphorylation prediction problem. We show that even for short sequences the variable selection leads to better classification performance. Moreover, the final simplicity of models allows for better data understanding and can be used by an expert for further analysis. The feature selection process is divided into two parts: i) the classification tree is used for finding the most relevant positions in amino acid sequences, ii) then the contrast pattern kernel is applied for pattern selection. This work summarizes the research made on classification of short amino acid sequences. The results of the research allowed us to propose a general scheme of amino acid sequence analysis.

Paper Details

Date Published: 15 October 2012
PDF: 7 pages
Proc. SPIE 8454, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2012, 84541W (15 October 2012); doi: 10.1117/12.2001270
Show Author Affiliations
Jakub Węcławski, Warsaw Univ. of Technology (Poland)
Stanisław Jankowski, Warsaw Univ. of Technology (Poland)
Zbigniew Szymański, Warsaw Univ. of Technology (Poland)


Published in SPIE Proceedings Vol. 8454:
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2012
Ryszard S. Romaniuk, Editor(s)

© SPIE. Terms of Use
Back to Top