Literature DB >> 31298267

Some comments on certain statistical aspects of the study of the microbiome.

José A Ferreira1, Susana Fuentes2.   

Abstract

This note complements and clarifies part of the work of Hawinkel et al. recently published in the journal and suggests some more or less standard tools and methods for carrying out association studies of the microbiome.
© The Author(s) 2019. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Keywords:  association studies; false discovery rate; microbiome data; nonparametric tests; p-values

Year:  2019        PMID： 31298267     DOI： 10.1093/bib/bbz077

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN： 1467-5463            Impact factor:   11.622


  2 in total

1.  Powerful and robust non-parametric association testing for microbiome data via a zero-inflated quantile approach (ZINQ).

Authors:  Wodan Ling; Ni Zhao; Anna M Plantinga; Lenore J Launer; Anthony A Fodor; Katie A Meyer; Michael C Wu
Journal:  Microbiome       Date:  2021-09-02       Impact factor: 14.650

2.  Associations and recovery dynamics of the nasopharyngeal microbiota during influenza-like illness in the aging population.

Authors:  Sudarshan A Shetty; Josine van Beek; Elske Bijvank; James Groot; Sjoerd Kuiling; Thijs Bosch; Debbie van Baarle; Susana Fuentes
Journal:  Sci Rep       Date:  2022-02-03       Impact factor: 4.379
  2 in total

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