### Szczegóły

#### Tytuł artykułu

Mixture model of NMR - its application to diagnosis and treatment of brain cancer#### Tytuł czasopisma

Archives of Control Sciences#### Rocznik

2010#### Numer

No 4#### Autorzy publikacji

#### Wydział PAN

Nauki Techniczne#### Opis

Archives of Control Sciences welcomes for consideration papers on topics of significance in broadly understood control science and related areas, including: basic control theory, optimal control, optimization methods, control of complex systems, mathematical modeling of dynamic and control systems, expert and decision support systems and diverse methods of knowledge modelling and representing uncertainty (by stochastic, set-valued, fuzzy or rough set methods, etc.), robotics and flexible manufacturing systems. Related areas that are covered include information technology, parallel and distributed computations, neural networks and mathematical biomedicine, mathematical economics, applied game theory, financial engineering, business informatics and other similar fields.

Aims and Scope: Archives of Control Sciences publishes papers in the broadly understood field of control science and related areas while promoting the closer integration of the Polish, as well as other Central and East European scientific communities with the international world of science.

#### Wydawca

Committee of Automatic Control and Robotics PAS#### Data

2010#### Identyfikator

ISSN 1230-2384#### Referencje

R. de Graff (2007), In vivo NMR spectroscopy. ; Jansen J. (2007), 1H MR spectroscopy of the brain: Absolute quantification of metabolites, Radiology, 240, 318. ; Keeler J. (2005), Understanding NMR spectroscopy. ; Savitzky A. (1964), Smoothing and differentiation of data by Ssimplified least squares procedures, Analytical Chemistry, 36, 8, 1627. ; Polański A. (2007), Bioinformatics. ; Millar P. (2006), Using the Bayesian information criterion to judge models and statistical significance, null. ; S. Mc Kinley and M. Levine: Cubic spline interpolation. Math 45: Linear Algebra, 1992. ; Pietrowska M. (2010), Optimizing of MALDI-ToF-based low-molecular-weight serum proteome pattern analysis in detection of breast cancer patients; the effect of albumin removal on classification performance, Neoplasma, 56, 6, 537. ; webpage: <a target="_blank" href='http://tarquin.sourceforge.net/index.php'>http://tarquin.sourceforge.net/index.php</a> ; Gong J. (1992), A fast T1 algorithm, Magn. Reson. Imaging, 10, 623. ; Shaw D. (1976), Fourier transform NMR spectroscopy. ; Poullet J-B. (2007), An automated quantitation of short echo time MRS spectra in an open source software environment:, AQSES NMR in Biomedicine, 20, 5, 493. ; Stefan D. (2009), Quantitation of magnetic resonance spectroscopy signals: the jMRUI software package, Measurement Science and Technology, 20, 104035. ; Dempster A. (1977), Maximum likelihood from incomplete data wia the EM algorithm, Journal of the Royal Statistical Society B, 39, 1, 1. ; (1988), Mixture models. ; Cabanes E. (2001), Optimization of residual water signal removal by HLSVD on simulated short echo time proton MR spectra of the human brain, J. of Magnetic Resonance, 150, 2.#### DOI

10.2478/v10170-010-0026-3