@inproceedings{d99b5b24835c46cbad54b2ed4fd0ee13,
title = "Application of diffusion based framelet transform to the MS-based proteomics data preprocessing",
abstract = "Mass Spectrometry (MS) is one of the main detection tools for high-throughput proteomics. The preprocessing of mass spectra is fundamental for its successive examination like biomarker detection or protein identification. Peaks are extracted from a data set for biomarker identification. Biomarkers are useful for differentiating diseased and normal samples. Framelet transform has gradually become one of the important methodologies in the MS data preprocessing. The smoothing and baseline removal are important steps of the preprocessing of mass spectra. Nonlinear diffusion method has been effectively used in removing unimportant, minor variations while keeping vital features such as discontinuities. This paper reviews the application of diffusion based framelet transform in preprocessing stages for smoothing and peak detection of MS data.",
keywords = "Denoising, Framelet Transform, Mass Spectrometry, Mass by charge ratio (m/z), Matrix assisted laser desorption and ionization (MALDI), Nonlinear Diffusion, Surface enhanced laser desorption and ionization (SELDI), time-of-fight (TOF)",
author = "Saeed Amir and Haihui Wang and Fangtao Sun",
year = "2013",
doi = "10.1109/IBCAST.2013.6512140",
language = "英语",
isbn = "9781467344265",
series = "Proceedings of 2013 10th International Bhurban Conference on Applied Sciences and Technology, IBCAST 2013",
pages = "109--112",
booktitle = "Proceedings of 2013 10th International Bhurban Conference on Applied Sciences and Technology, IBCAST 2013",
note = "2013 10th International Bhurban Conference on Applied Sciences and Technology, IBCAST 2013 ; Conference date: 15-01-2013 Through 19-01-2013",
}