@inproceedings{64b0d835542c4aa1a39e63dcfd20470a,
title = "Application of framelet transform to the MS-based proteomics data preprocessing",
abstract = "Mass Spectrometry (MS) has become one of major detection technologies for high-throughput proteomics. The preprocessing of mass spectra is crucial for its subsequent analysis like biomarker discovery or protein identification. The baseline removal and smoothing are important steps of the preprocessing of mass spectra. This paper reviews the application of wavelet transforms in smoothing and its deficiency. Then we propose a discrete framelet transform smoothing algorithm, which improves the smoothing quality of MS-data.",
keywords = "Denoising, Framelet transform, Mass spectrometry",
author = "Haihui Wang and Yijun Chang and Pan Du",
year = "2008",
language = "英语",
isbn = "1601320558",
series = "Proceedings of the 2008 International Conference on Bioinformatics and Computational Biology, BIOCOMP 2008",
pages = "379--382",
booktitle = "Proceedings of the 2008 International Conference on Bioinformatics and Computational Biology, BIOCOMP 2008",
note = "2008 International Conference on Bioinformatics and Computational Biology, BIOCOMP 2008 ; Conference date: 14-07-2008 Through 17-07-2008",
}