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Development and Application of Statistical Methods for Analyzing Metabolomics Data

This special issue belongs to the section “Bioinformatics and Data Analysis“.

Special Issue Information

Dear Colleagues,

In the last decade, the field of metabolomics has developed tremendously: it is now possible to routinely measure a wide range of metabolites for many specimens at reduced costs. This opens the door to many exciting experiments such as time resolved metabolomics, multi-sample and multi-species metabolomics, or cross-omics experiments, to name but a few. Data analysis is a crucial step to be able to extract meaningful information from the complex data thus acquired. Because of this, the rapid developments in powerful metabolomics experiments have to be matched with developments in statistical methodology for analysis of these experiments.  

This Special Issue is dedicated to the development or application of statistical methods for analyzing metabolomics data. We invite researchers to submit their manuscripts outlining novel data processing and data analysis methods for metabolomics. However, the scope of this Special Issue is not limited to this topic, but also includes experimental design, data acquisition methods, and applied metabolomics studies in which data analysis played an especially attractive role. 

Dr. Jos Hageman
Dr. Jasper Engel
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Metabolites is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Univariate/multivariate statistics
  • Chemometrics
  • Data analysis
  • Experimental design

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Metabolites - ISSN 2218-1989