Author:
Plechawska-Wójcik Małgorzata
Abstract
The article presents issues concerning construction, adjustment and implementation of mass spectrometry mathematical model based on Gaussians and Mixture Models and the mean spectrum. This task is essential to the analysis and it needs specification of many parameters of the model.
Subject
General Earth and Planetary Sciences,General Engineering,General Environmental Science
Reference39 articles.
1. Akaike H.: A new look at the statistical model identification. IEEE Transactions on Automatic Control, 9 s.716–723, 1974.
2. Baggerly K.A., Morris J., Wang J., Gold D., Xiao L.C., Coombes K.R.: A comprehensive approach to the analysis of matrix-assisted laser desorption/ionization time of flight proteomics spectra from serum samples. Proteomics, s. 1667–1672, 2003.
3. Banfield J., Raftery A.: Model-based Gaussian and non-Gaussian clustering. Biometrics, 49 s. 803–821, 1993.
4. Boster B., Guyon I., Vapnik V.: A training algorithm for optimal margin classifiers. Fifth Annual Workshop on Computational Learning Theory, s. 114– 152, 1992.
5. Bozdogan H.: Choosing the number of component clusters in the mixturemodel using a new informational complexity criterion of the inverse-fisher informational matrix. Springer-Verlag,Heidelberg, 19 s. 40–54, 1993.