@inproceedings{72f2c24fbb714be0bfb6382d5c0b1ea3,
title = "Simulation of the usage of Gaussian mixture models for the purpose of modelling virtual mass spectrometry data",
abstract = "This article presents the method of the processing of mass spectrometry data. Mass spectra are modelled with Gaussian Mixture Models. Every peak of the spectrum is represented by a single Gaussian. Its parameters describe the location, height and width of the corresponding peak of the spectrum. An authorial version of the Expectation Maximisation Algorithm was used to perform all calculations. Errors were estimated with a virtual mass spectrometer. The discussed tool was originally designed to generate a set of spectra within defined parameters.",
keywords = "Expectation maximization algorithm, GMM, Mass spectrometry",
author = "Ma{\l}gorzata Plechawska and Joanna Pola{\'n}ska",
year = "2009",
doi = "10.3233/978-1-60750-044-5-804",
language = "English",
isbn = "9781607500445",
series = "Studies in Health Technology and Informatics",
publisher = "IOS Press",
pages = "804--808",
booktitle = "Medical Informatics in a United and Healthy Europe - Proceedings of MIE 2009",
address = "United States",
note = "22nd International Conference on Medical Informatics Europe, MIE 2009 ; Conference date: 30-08-2009 Through 02-09-2009",
}