Application of an artificial neural network model for selection of potential lung cancer biomarkers
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[1] M. Zeelenberg,et al. Data analysis 4 , 2016 .
[2] Begoña Garcia-Zapirain,et al. EEG artifact removal—state-of-the-art and guidelines , 2015, Journal of neural engineering.
[3] A Smolinska,et al. Current breathomics—a review on data pre-processing techniques and machine learning in metabolomics breath analysis , 2014, Journal of breath research.
[4] Yoshihiro Saito,et al. Double-bed-type extraction needle packed with activated-carbon-based sorbents for very volatile organic compounds. , 2014, Journal of pharmaceutical and biomedical analysis.
[5] Bogusław Buszewski,et al. Detection of volatile organic compounds as biomarkers in breath analysis by different analytical techniques. , 2013, Bioanalysis.
[6] Jan Baumbach,et al. Peak Detection Method Evaluation for Ion Mobility Spectrometry by Using Machine Learning Approaches , 2013, Metabolites.
[7] A. Dzien,et al. Dependence of exhaled breath composition on exogenous factors, smoking habits and exposure to air pollutants , 2012, Journal of breath research.
[8] F. V. van Schooten,et al. The versatile use of exhaled volatile organic compounds in human health and disease , 2012, Journal of breath research.
[9] Ki-Hyun Kim,et al. A review of breath analysis for diagnosis of human health , 2012 .
[10] Sabine Kischkel,et al. Needle trap micro-extraction for VOC analysis: effects of packing materials and desorption parameters. , 2012, Journal of chromatography. A.
[11] B. Buszewski,et al. The application of statistical methods using VOCs to identify patients with lung cancer , 2011, Journal of breath research.
[12] H. Haick,et al. Diagnosis of head-and-neck cancer from exhaled breath , 2011, British Journal of Cancer.
[13] Sven Rahmann,et al. Differentiation of chronic obstructive pulmonary disease (COPD) including lung cancer from healthy control group by breath analysis using ion mobility spectrometry , 2010 .
[14] Massimo Corradi,et al. Determination of aldehydes in exhaled breath of patients with lung cancer by means of on-fiber-derivatisation SPME-GC/MS. , 2010, Journal of chromatography. B, Analytical technologies in the biomedical and life sciences.
[15] Ralf Zimmermann,et al. Automated needle trap heart-cut GC/MS and needle trap comprehensive two-dimensional GC/TOF-MS for breath gas analysis in the clinical environment. , 2010, Analytical chemistry.
[16] G. Sun,et al. Quantitative breath analysis of volatile organic compounds of lung cancer patients. , 2010, Lung cancer.
[17] Anton Amann,et al. TD-GC-MS Analysis of Volatile Metabolites of Human Lung Cancer and Normal Cells In vitro , 2010, Cancer Epidemiology, Biomarkers & Prevention.
[18] M. Fiegl,et al. Noninvasive detection of lung cancer by analysis of exhaled breath , 2009, BMC Cancer.
[19] W. Miekisch,et al. Multibed needle trap devices for on site sampling and preconcentration of volatile breath biomarkers. , 2009, Analytical chemistry.
[20] K. Unterkofler,et al. Breath acetone—aspects of normal physiology related to age and gender as determined in a PTR-MS study , 2009, Journal of breath research.
[21] B. Buszewski,et al. Analysis of exhaled breath from smokers, passive smokers and non-smokers by solid-phase microextraction gas chromatography/mass spectrometry. , 2009, Biomedical chromatography : BMC.
[22] Magdalena Ligor,et al. Determination of volatile organic compounds in exhaled breath of patients with lung cancer using solid phase microextraction and gas chromatography mass spectrometry , 2009, Clinical chemistry and laboratory medicine.
[23] A. Dzien,et al. The analysis of healthy volunteers' exhaled breath by the use of solid-phase microextraction and GC-MS , 2008, Journal of breath research.
[24] J. Austin,et al. Detection of lung cancer using weighted digital analysis of breath biomarkers. , 2008, Clinica chimica acta; international journal of clinical chemistry.
[25] K. Unterkofler,et al. Breath isoprene – aspects of normal physiology related to age, gender and cholesterol profile as determined in a proton transfer reaction mass spectrometry study , 2008, Clinical chemistry and laboratory medicine.
[26] Bogusław Buszewski,et al. Human exhaled air analytics: biomarkers of diseases. , 2007, Biomedical chromatography : BMC.
[27] Wolfram Miekisch,et al. From highly sophisticated analytical techniques to life-saving diagnostics: Technical developments in breath analysis , 2006 .
[28] R. Sacks,et al. Development of a multibed sorption trap, comprehensive two-dimensional gas chromatography, and time-of-flight mass spectrometry system for the analysis of volatile organic compounds in human breath. , 2006, Analytical chemistry.
[29] W. Miekisch,et al. Diagnostic potential of breath analysis--focus on volatile organic compounds. , 2004, Clinica chimica acta; international journal of clinical chemistry.
[30] M. Phillips,et al. Volatile Markers of Breast Cancer in the Breath , 2003, The breast journal.
[31] M. Phillips,et al. Effect of age on the breath methylated alkane contour, a display of apparent new markers of oxidative stress. , 2000, The Journal of laboratory and clinical medicine.
[32] M. Phillips,et al. Variation in volatile organic compounds in the breath of normal humans. , 1999, Journal of chromatography. B, Biomedical sciences and applications.
[33] R. Cataneo,et al. Volatile organic compounds in breath as markers of lung cancer: a cross-sectional study , 1999, The Lancet.
[34] Quantitative analysis of urine vapor and breath by gas-liquid partition chromatography , 1972, Proceedings of the National Academy of Sciences.
[35] A. B. Robinson,et al. Quantitative analysis of urine vapor and breath by gas-liquid partition chromatography. , 1971, Proceedings of the National Academy of Sciences of the United States of America.