Applying the dual-tree complex DWT and double density DWT for mass spectrometry feature extraction and classification

Author

Pham, Phuong ; Yu, Li ; Nguyen, Minh

Author_Institution

Dept. of Electron. & Inf. Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China

fYear

2010

fDate

16-18 April 2010

Firstpage

394

Lastpage

399

Abstract

In this paper, we propose to use dual-tree complex and double density discrete wavelet transform for extracting mass spectrometry features. Two corresponding procedures are suggested for mass spectrometry classification. Several experiments are deployed on two types of MALDI-TOF mass spectra, including stable spectra and noisy spectra. The classification results show that our proposed procedures not only obtain better performance than previous methods but are robust-to-noise.

Keywords

MALDI mass spectra; MALDI mass spectroscopy; discrete wavelet transforms; feature extraction; medical signal processing; molecular biophysics; proteins; signal classification; time of flight mass spectra; time of flight mass spectroscopy; MALDI-TOF mass spectra; double density discrete wavelet transform; dual-tree complex discrete wavelet transform; feature classification; feature extraction; mass spectrometry; noisy spectra; stable spectra; Cancer; Cyclic redundancy check; Data mining; Discrete wavelet transforms; Feature extraction; Gaussian noise; Ionization; Mass spectroscopy; Support vector machine classification; Support vector machines; double density discrete wavelet transform; dual-tree complex wavelet transform; feature extraction; mass spectrometry; support vector machine;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioinformatics and Biomedical Technology (ICBBT), 2010 International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4244-6775-4

Type

conf

DOI

10.1109/ICBBT.2010.5478933

Filename

5478933