跳到主要导航 跳到搜索 跳到主要内容

Application of wavelet transform to the MS-based proteomics data preprocessing

  • Pan Du*
  • , Simon M. Lin
  • , Warren A. Kibbe
  • , Haihui Wang
  • *此作品的通讯作者
  • Northwestern University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Mass Spectrometry (MS) has become one of the major detection technologies for high-throughput proteomics. The preprocessing of mass spectra is crucial for its subsequent analysis like biomarker discovery or protein identification. Wavelet transform is gradually becoming an important methodology in the MS data preprocessing. This paper reviews the application of wavelet transforms in quality control, smoothing and peak detection of MS data preprocessing. It also proposes an improved Discrete Wavelet Transform (DWT) smoothing algorithm, which utilizes the cross-level DWT coefficients information during smoothing. Most of the algorithms described in this paper are included or will be included in the Bioconductor MassSpecWavelet package.

源语言英语
主期刊名Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE
680-686
页数7
DOI
出版状态已出版 - 2007
活动7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE - Boston, MA, 美国
期限: 14 1月 200717 1月 2007

出版系列

姓名Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE

会议

会议7th IEEE International Conference on Bioinformatics and Bioengineering, BIBE
国家/地区美国
Boston, MA
时期14/01/0717/01/07

学术指纹

探究 'Application of wavelet transform to the MS-based proteomics data preprocessing' 的科研主题。它们共同构成独一无二的学术指纹。

引用此