Evaluation of statistical techniques to normalize mass spectrometry-based urinary metabolomics data

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Statistical analysis and modeling of mass spectrometry-based metabolomics data.

Multivariate statistical techniques are used extensively in metabolomics studies, ranging from biomarker selection to model building and validation. Two model independent variable selection techniques, principal component analysis and two sample t-tests are discussed in this chapter, as well as classification and regression models and model related variable selection techniques, including parti...

متن کامل

Mass spectrometry-based metabolomics.

This review presents an overview of the dynamically developing field of mass spectrometry-based metabolomics. Metabolomics aims at the comprehensive and quantitative analysis of wide arrays of metabolites in biological samples. These numerous analytes have very diverse physico-chemical properties and occur at different abundance levels. Consequently, comprehensive metabolomics investigations ar...

متن کامل

Mass spectrometry-based metabolomics

untargeted. Targeted metabolomics focuses on a subset of metabolites involved in one or more pathways; the chemical identities of metabolites to be measured are known, authentic standards are available in these studies. The goal of untargeted metabolomics is to observe global metabolite profiling differences between sample types, experiments are designed to maximise the coverage of metabolites....

متن کامل

MET-IDEA: data extraction tool for mass spectrometry-based metabolomics.

A current and significant limitation to metabolomics is the large-scale, high-throughput conversion of raw chromatographically coupled mass spectrometry datasets into organized data matrices necessary for further statistical processing and data visualization. This article describes a new data extraction tool, MET-IDEA (Metabolomics Ion-based Data Extraction Algorithm) which surmounts this void....

متن کامل

Data preprocessing method for liquid chromatography-mass spectrometry based metabolomics.

A set of data preprocessing algorithms for peak detection and peak list alignment are reported for analysis of liquid chromatography-mass spectrometry (LC-MS)-based metabolomics data. For spectrum deconvolution, peak picking is achieved at the selected ion chromatogram (XIC) level. To estimate and remove the noise in XICs, each XIC is first segmented into several peak groups based on the contin...

متن کامل

ذخیره 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: Journal of Pharmaceutical and Biomedical Analysis

سال: 2020

ISSN: 0731-7085

DOI: 10.1016/j.jpba.2019.112854