Domain-independent data processing in an ontology based data access environment using the sosa ontology

Data pre-processing, analysis, and quality checks are constantly tailored to a specific data set. Ontology Based Data Access (OBDA) can provide the interoperability layer to apply the same procedure on heterogeneous data sets. The SOSA ontology, for example, provides a domain-independent generalization of sensor measurements, and is already...

Imputation methods outperform missing-indicator for data missing completely at random

Quantitative metabolomics based on gas chromatography mass spectrometry: Status and perspectives

Metabolomics involves the unbiased quantitative and qualitative analysis of the complete set of metabolites present in cells, body fluids and tissues (the metabolome). By analyzing differences between metabolomes using biostatistics (multivariate data analysis; pattern recognition), metabolites relevant to a specific phenotypic characteristic...

Real-time intelligent production monitoring of a North Sea asset

The increasing complexity of natural gas extraction because of reducing reserves, complex behavior and more intricate contractual rules (due to liberalization of the West European energy markets) creates a need for more effective production efficiency. In order to deal with these challenges Wintershall is realizing a real-time monitoring system...

Integration of two-dimensional LC-MS with multivariate statistics for comparative analysis of proteomic samples

LC-MS-based proteomics requires methods with high peak capacity and a high degree of automation, integrated with data-handling tools able to cope with the massive data produced and able to quantitatively compare them. This paper describes an off-line two-dimensional (2D) LC-MS method and its integration with software tools for data preprocessing...

Partial linear fit: A new NMR spectroscopy preprocessing tool for pattern recognition applications

NMR spectroscopy is increasingly used in combination with multivariate analysis applications. Especially in the analysis of food products and the study of natural processes it has proved its usefulness. The samples used in these evaluations are however, often difficult to control. 'Positional' shifts of peaks due to differences in pH and other...