Literature DB >> 23963918

Statistical analysis of metabolomics data.

Alysha M De Livera1, Moshe Olshansky, Terence P Speed.   

Abstract

Statistical matters form an integral part of a metabolomics experiment. In this chapter we describe several important aspects in the analysis of metabolomics data such as the removal of unwanted variation and the identification of differentially abundant metabolites, along with a number of other essential statistical considerations.

Mesh：

Year:  2013        PMID： 23963918     DOI： 10.1007/978-1-62703-577-4_20

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN： 1064-3745


  11 in total

1.  Effects of imputation on correlation: implications for analysis of mass spectrometry data from multiple biological matrices.

Authors:  Sandra L Taylor; L Renee Ruhaak; Karen Kelly; Robert H Weiss; Kyoungmi Kim
Journal:  Brief Bioinform       Date:  2017-03-01       Impact factor: 11.622

Review 2.  Nutritional Metabolomics in Cancer Epidemiology: Current Trends, Challenges, and Future Directions.

Authors:  Emma E McGee; Rama Kiblawi; Mary C Playdon; A Heather Eliassen
Journal:  Curr Nutr Rep       Date:  2019-09

3.  Statistical methods for handling unwanted variation in metabolomics data.

Authors:  Alysha M De Livera; Marko Sysi-Aho; Laurent Jacob; Johann A Gagnon-Bartsch; Sandra Castillo; Julie A Simpson; Terence P Speed
Journal:  Anal Chem       Date:  2015-03-06       Impact factor: 6.986

4.  Development and quantitative evaluation of a high-resolution metabolomics technology.

Authors:  Xiaojing Liu; Zheng Ser; Jason W Locasale
Journal:  Anal Chem       Date:  2014-01-28       Impact factor: 6.986

5.  Metabolic profiling of a transgenic Caenorhabditis elegans Alzheimer model.

Authors:  Roel Van Assche; Liesbet Temmerman; Daniel A Dias; Berin Boughton; Kurt Boonen; Bart P Braeckman; Liliane Schoofs; Ute Roessner
Journal:  Metabolomics       Date:  2014-07-30       Impact factor: 4.290

6.  Improving Visualization and Interpretation of Metabolome-Wide Association Studies: An Application in a Population-Based Cohort Using Untargeted 1H NMR Metabolic Profiling.

Authors:  Raphaële Castagné; Claire Laurence Boulangé; Ibrahim Karaman; Gianluca Campanella; Diana L Santos Ferreira; Manuja R Kaluarachchi; Benjamin Lehne; Alireza Moayyeri; Matthew R Lewis; Konstantina Spagou; Anthony C Dona; Vangelis Evangelos; Russell Tracy; Philip Greenland; John C Lindon; David Herrington; Timothy M D Ebbels; Paul Elliott; Ioanna Tzoulaki; Marc Chadeau-Hyam
Journal:  J Proteome Res       Date:  2017-09-08       Impact factor: 4.466

7.  Identification of a Shared Microbiomic and Metabolomic Profile in Systemic Autoimmune Diseases.

Authors:  Chiara Bellocchi; Álvaro Fernández-Ochoa; Gaia Montanelli; Barbara Vigone; Alessandro Santaniello; Rosa Quirantes-Piné; Isabel Borrás-Linares; Maria Gerosa; Carolina Artusi; Roberta Gualtierotti; Antonio Segura-Carrettero; Marta E Alarcón-Riquelme; Lorenzo Beretta
Journal:  J Clin Med       Date:  2019-08-23       Impact factor: 4.241

8.  A novel bioinformatics approach to identify the consistently well-performing normalization strategy for current metabolomic studies.

Authors:  Qingxia Yang; Jiajun Hong; Yi Li; Weiwei Xue; Song Li; Hui Yang; Feng Zhu
Journal:  Brief Bioinform       Date:  2020-12-01       Impact factor: 11.622

9.  Analytical challenges of untargeted GC-MS-based metabolomics and the critical issues in selecting the data processing strategy.

Authors:  Ting-Li Han; Yang Yang; Hua Zhang; Kai P Law
Journal:  F1000Res       Date:  2017-06-22

Review 10.  A Checklist for Reproducible Computational Analysis in Clinical Metabolomics Research.

Authors:  Xinsong Du; Juan J Aristizabal-Henao; Timothy J Garrett; Mathias Brochhausen; William R Hogan; Dominick J Lemas
Journal:  Metabolites       Date:  2022-01-17
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