Mass spectrometry has become one of the most popular analysis techniques in Proteomics and Systems Biology. With the creation of larger data sets, the automated recalibration of ma...
We present the first interdisciplinary work on transforming a popular problem in proteomics, i.e. protein identification from tandem mass spectra, to an Information Retrieval (IR)...
The idea of integrating users into the design and production process is a promising strategy for companies being forced to react to the growing individualization of demand. The us...
Frank Thomas Piller, Petra Schubert, Michael Koch,...
Images secured from an astronomical telescope usually suffer from blur and from interference that scientists refer to as ``noise''. Therefore, good image restoration tec...
This paper proposes a novel Mass Spectrometry data profiling method for ovarian cancer detection based on negative correlation learning (NCL). A modified Smoothed Nonlinear Energy ...