A Comparison of Various Normalization Methods for LC/MS Metabolomics Data
نویسندگان
چکیده
منابع مشابه
Metabolomics Data Normalization with EigenMS
Liquid chromatography mass spectrometry has become one of the analytical platforms of choice for metabolomics studies. However, LC-MS metabolomics data can suffer from the effects of various systematic biases. These include batch effects, day-to-day variations in instrument performance, signal intensity loss due to time-dependent effects of the LC column performance, accumulation of contaminant...
متن کاملQuantitative Comparison of Statistical Methods for Analyzing Human Metabolomics Data
1Cardiovascular Division, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 2Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 3Departments of Medicine & Pharmacology, University of California San Diego, La Jolla, CA 4Preventive Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 5Preventive Medicine, Department of Medicine,...
متن کاملTargeted, LCMS-based Metabolomics for Quantitative Measurement of NAD+ Metabolites
Nicotinamide adenine dinucleotide (NAD(+)) is a coenzyme for hydride transfer reactions and a substrate for sirtuins and other NAD(+)-consuming enzymes. The abundance of NAD (+), NAD(+) biosynthetic intermediates, and related nucleotides reflects the metabolic state of cells and tissues. High performance liquid chromatography (HPLC) followed by ultraviolet-visible (UV-Vis) spectroscopic analysi...
متن کاملNormalization of metabolomics data with applications to correlation maps
MOTIVATION In metabolomics, the goal is to identify and measure the concentrations of different metabolites (small molecules) in a cell or a biological system. The metabolites form an important layer in the complex metabolic network, and the interactions between different metabolites are often of interest. It is crucial to perform proper normalization of metabolomics data, but current methods m...
متن کاملNormalization of metabolomics data using multiple internal standards
Success of metabolomics as the phenotyping platform largely depends on its ability to detect various sources of biological variability. Removal of platform-specific sources of variability such as systematic error is therefore one of the foremost priorities in data pre-processing. However, chemical diversity of molecular species included in typical metabolic profiling experiments leads to differ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Advances in Bioscience and Biotechnology
سال: 2018
ISSN: 2156-8456,2156-8502
DOI: 10.4236/abb.2018.98022