P. Knollmüller

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MOTIVATION Modern machine learning methods based on matrix decomposition techniques, like independent component analysis (ICA) or non-negative matrix factorization (NMF), provide new and efficient analysis tools which are currently explored to analyze gene expression profiles. These exploratory feature extraction techniques yield expression modes (ICA) or(More)
Abbreviations 1D One-dimensional 1 H Hydrogen-1 (proton) 2D Two-dimensional 13 C Carbon-13 31 P Phosphorus-31 ADPKD Autosomal dominant polycystic kidney disease Acetyl-CoA Acetyl coenzyme A ANOVA Analysis of variance ATP Adenosine triphosphate BHBA Beta-hydroxybutyric acid °C Degrees Celsius Ca Calcium ck Choline kinase CPMG Carr, Purcell, Meiboom, Gill DIM(More)
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