Literature DB >> 34357345

Special Issue: Development and Application of Statistical Methods for Analyzing Metabolomics Data.

Jos Hageman1, Jasper Engel1.   

Abstract

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, opening the door to many exciting experiments [...].

Entities:  

Year:  2021        PMID： 34357345     DOI： 10.3390/metabo11070451

Source DB:  PubMed          Journal:  Metabolites        ISSN： 2218-1989


  10 in total

1.  Extraction and Integration of Genetic Networks from Short-Profile Omic Data Sets.

Authors:  Jacopo Iacovacci; Alina Peluso; Timothy Ebbels; Markus Ralser; Robert C Glen
Journal:  Metabolites       Date:  2020-10-29

2.  On the Use of Correlation and MI as a Measure of Metabolite-Metabolite Association for Network Differential Connectivity Analysis.

Authors:  Sanjeevan Jahagirdar; Edoardo Saccenti
Journal:  Metabolites       Date:  2020-04-24

3.  Ranking Metabolite Sets by Their Activity Levels.

Authors:  Karen McLuskey; Joe Wandy; Isabel Vincent; Justin J J van der Hooft; Simon Rogers; Karl Burgess; Rónán Daly
Journal:  Metabolites       Date:  2021-02-11

4.  Improved One-Class Modeling of High-Dimensional Metabolomics Data via Eigenvalue-Shrinkage.

Authors:  Alberto Brini; Vahe Avagyan; Ric C H de Vos; Jack H Vossen; Edwin R van den Heuvel; Jasper Engel
Journal:  Metabolites       Date:  2021-04-13

5.  Can We Trust Score Plots?

Authors:  Marta Bevilacqua; Rasmus Bro
Journal:  Metabolites       Date:  2020-07-08

6.  OS-PCA: Orthogonal Smoothed Principal Component Analysis Applied to Metabolome Data.

Authors:  Hiroyuki Yamamoto; Yasumune Nakayama; Hiroshi Tsugawa
Journal:  Metabolites       Date:  2021-03-05

Review 7.  Approaches to Integrating Metabolomics and Multi-Omics Data: A Primer.

Authors:  Takoua Jendoubi
Journal:  Metabolites       Date:  2021-03-21
  10 in total

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