DTW - DYNAMIC TIME WARPING

Current Treatment Options in Allergy - Drug-induced anaphylaxis can be a life-threatening condition occurring after drug intake by any route, including non-therapeutic exposure due to accidental...

The IMT School for Advanced Studies Lucca organizes an AFNI Bootcamp, as a satellite event of the upcoming Annual Meeting of the Organization for Human Brain Mapping (OHBM Rome 2019). The AFNI Bootcamp will be held in Lucca (Italy) on June 3-7, 2019. This is a course designed to teach

Abstract Compiled Acrs 2017 [6nq81yr2jpnw]. ...

#upperVISION2030 ist ein Handlungsrahmen für Wirtschafts- und Forschungspolitik in Oberösterreich. Ein klares inhaltliches Konzept, um den großen Herausforderungen unserer Zeit so zu begegnen, dass die bestehenden Stärken des Standorts Oberösterreich bestmöglich eingesetzt sind.

Digitrans liefert mit Know-how und Testinfrastruktur die besten Antworten um die Zukunft des autonomen Transportes Realität werden zu lassen.

Background In proteomics studies, liquid chromatography coupled to mass spectrometry (LC-MS) has proven to be a powerful technology to investigate differential expression of proteins/peptides that are characterized by their peak intensities, mass-to-charge ratio (m/z), and retention time (RT). The variable complexity of peptide mixtures and occasional drifts lead to substantial variations in m/z and RT dimensions. Thus, label-free differential protein expression studies by LC-MS technology require alignment with respect to both RT and m/z to ensure that same proteins/peptides are compared from multiple runs. Methods In this study, we propose a new strategy to align LC-MALDI-TOF data by combining quality threshold cluster analysis and support vector regression. Our method performs alignment on the basis of measurements in three dimensions (RT, m/z, intensity). Results and conclusions We demonstrate the suitability of our proposed method for alignment of LC-MALDI-TOF data through a previously published spike-in dataset and a new in-house generated spike-in dataset. A comparison of our method with other methods that utilize only RT and m/z dimensions reveals that the use of intensity measurements enhances alignment performance.

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