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Genetic Algorithms Successfully Select Potential Biomarkers in Mass Spectrometry-Based Metabolomics
25 April 2008
Combination of the comprehensive metabolic profiling utilizing three complementary analytical methods for MS data acquisition and Genetic Algorithms technique for feature selection presenting intriguing avenue for finding and exploration small subsets of strong classifiers.
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Bio-analytic silicon chips for the detection of developmentalneurotoxic effects of chemicals and drugs in the context of the European REACH program
09 November 2007
Bio-analytic silicon chips can be used to investigate stem cell differentiation into neurons and for the in vitro on-line monitoring of cellular reactions under well controlled experimental conditions. Chip systems allow for a parallel, label-free and non-invasive measurement of different parameters by CMOS silicon microsensors by the application of potential neurotoxic and developmental neurotoxic substances.
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Bio-analytic silicon chips for the detection of developmentalneurotoxic effects of chemicals and drugs in the context of the European REACH program
09 November 2007
Bio-analytic silicon chips can be used to investigate stem cell differentiation into neurons and for the in vitro on-line monitoring of cellular reactions under well controlled experimental conditions. Chip systems allow for a parallel, label-free and non-invasive measurement of different parameters by CMOS silicon microsensors by the application of potential neurotoxic and developmental neurotoxic substances.
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Biomarkers and Metabolomics: Practical Implication
02 November 2007
Current presentation is dedicated to case studies and illustrates diversity of the projects. Cases representing different projects combine the same analytical platform we utilize for metabolomics study of blood plasma and urine. While pattern recognition presents certain challenges but rather ones that can be resolved, identification of low abundant unknown biomarkers is critical for the field and offers significant technical challenge in spite of considerable progress in modern analytical techn
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Biomarkers and Metabolomics: Practical Implication
02 November 2007
Current presentation is dedicated to case studies and illustrates diversity of the projects. Cases representing different projects combine the same analytical platform we utilize for metabolomics study of blood plasma and urine. While pattern recognition presents certain challenges but rather ones that can be resolved, identification of low abundant unknown biomarkers is critical for the field and offers significant technical challenge in spite of considerable progress in modern analytical techn
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Alignment of 1H-NMR data using a Generalized Fuzzy Hough Transform
02 October 2007
In metabolic profiling, multivariate data analysis techniques are used to interpret 1D 1H–NMR data. Multivariate data analysis techniques require that peaks are located in the same variables in every spectrum – this requirement is not met in native NMR spectra. Current state-of-the-art alignment algorithms are unable to align peaks when the spatial order of the peaks changes. We present the Fuzzy Generalized Hough Transform alignment which solves the alignment problem.
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