Counting Missing Values in a Metabolite-Intensity Data Set for Measuring the Analytical Performance of a Metabolomics Platform

• Published in: Analytical chemistry (Washington) Vol. 87; no. 2; pp. 1306 - 1313
• Main Authors: Huan, Tao, Li, Liang
• Format: Journal Article
• Language: English
• Published: United States American Chemical Society 20.01.2015
• Subjects: Algorithms; Analytical chemistry; Chromatography, Liquid - methods; Counting; Dansyl Compounds - analysis; Dansyl Compounds - metabolism; data collection; Humans; isotope labeling; Isotope Labeling - methods; liquid chromatography; Mass spectra; Mass spectrometry; Mass Spectrometry - methods; Mathematical analysis; Metabolism; Metabolites; Metabolome; metabolomics; Metabolomics - methods; Patients; Platforms; Raw; Software; Tables (data); Urinary Bladder - metabolism; urinary bladder neoplasms; Urinary Bladder Neoplasms - metabolism; urine
• ISSN: 0003-2700; 1520-6882; 1520-6882
• DOI: 10.1021/ac5039994

Metabolomics requires quantitative comparison of individual metabolites present in an entire sample set. Unfortunately, missing intensity values in one or more samples are very common. Because missing values can have a profound influence on metabolomic results, the extent of missing values found in...