Retention time alignment is one of the most challenging steps in processing LC-MS datasets of complex proteomics samples acquired within a differential profiling study. A large number of time alignment methods have been developed for accurate pre-processing of such datasets. These methods generally assume that common compounds elute in the same order but they do not test whether this assumption holds. If this assumption is not valid, alignments based on a monotonic retention time function will lose accuracy for peaks that depart from the expected order of the retention time correspondence function. To address this issue, we propose a quality control method that assesses if a pair of complex LC-MS datasets can be aligned with the same alignm...
Abstract Background Metabolomics, petroleum and biodiesel chemistry, biomarker discovery, and other ...
Correlation optimized warping (COW) based on the total ion current (TIC) is a widely used time align...
This thesis reports techniques and optimization of algorithms to analyse label-free LC-MS data sets ...
Retention time alignment is one of the most challenging steps in processing LC-MS datasets of comple...
Liquid chromatography coupled to mass spectrometry (LC-MS) is the dominant technological platform fo...
Liquid chromatography coupled to mass spectrometry (LC-MS) is the dominant technological platform fo...
Motivation: Proteomics has particularly evolved to become of high interest for the field of biomarke...
Time alignment of complex LC-MS data remains a challenge in proteomics and metabolomics studies. Thi...
Time alignment of complex LC-MS data remains a challenge in proteomics and metabolomics studies. Thi...
We describe a new time alignment method that takes advantage of both dimensions of LC-MS data to res...
Comparative LC-MS is a powerful method for detailed quantitative comparison of complex protein mixtu...
Motivation: The combination of liquid chromatography and mass spectrometry (LC/MS) has been widely u...
Recently, liquid chromatography coupled to mass spectrometry (LC-MS) has become a standard technique...
Comparative LC-MS is a powerful method for detailed quantitative comparison of complex protein mixtu...
Correlation optimized warping (COW) based on the total ion current (TIC) is a widely used time align...
Abstract Background Metabolomics, petroleum and biodiesel chemistry, biomarker discovery, and other ...
Correlation optimized warping (COW) based on the total ion current (TIC) is a widely used time align...
This thesis reports techniques and optimization of algorithms to analyse label-free LC-MS data sets ...
Retention time alignment is one of the most challenging steps in processing LC-MS datasets of comple...
Liquid chromatography coupled to mass spectrometry (LC-MS) is the dominant technological platform fo...
Liquid chromatography coupled to mass spectrometry (LC-MS) is the dominant technological platform fo...
Motivation: Proteomics has particularly evolved to become of high interest for the field of biomarke...
Time alignment of complex LC-MS data remains a challenge in proteomics and metabolomics studies. Thi...
Time alignment of complex LC-MS data remains a challenge in proteomics and metabolomics studies. Thi...
We describe a new time alignment method that takes advantage of both dimensions of LC-MS data to res...
Comparative LC-MS is a powerful method for detailed quantitative comparison of complex protein mixtu...
Motivation: The combination of liquid chromatography and mass spectrometry (LC/MS) has been widely u...
Recently, liquid chromatography coupled to mass spectrometry (LC-MS) has become a standard technique...
Comparative LC-MS is a powerful method for detailed quantitative comparison of complex protein mixtu...
Correlation optimized warping (COW) based on the total ion current (TIC) is a widely used time align...
Abstract Background Metabolomics, petroleum and biodiesel chemistry, biomarker discovery, and other ...
Correlation optimized warping (COW) based on the total ion current (TIC) is a widely used time align...
This thesis reports techniques and optimization of algorithms to analyse label-free LC-MS data sets ...