Next Article in Journal
Soliton Solutions of Klein–Fock–Gordon Equation Using Sardar Subequation Method
Previous Article in Journal
Mixture Modeling of Time-to-Event Data in the Proportional Odds Model
Previous Article in Special Issue
Preliminary Results on the Preinduction Cervix Status by Shear Wave Elastography
 
 
Article

DExMA: An R Package for Performing Gene Expression Meta-Analysis with Missing Genes

1
Department of Statistics and Operational Research, University of Granada, 18071 Granada, Spain
2
Bioinformatics Unit, Centre for Genomics and Oncological Research Pfizer/University of Granada/Andalusian Regional Government, 18016 Granada, Spain
3
Data Science for Heath Research Unit, Fondazione Bruno Kessler, 38123 Trento, Italy
4
Medical Genomics, Centre for Genomics and Oncological Research Pfizer/University of Granada/Andalusian Regional Government, 18016 Granada, Spain
*
Author to whom correspondence should be addressed.
Academic Editors: Vasile Preda and Lev Klebanov
Mathematics 2022, 10(18), 3376; https://doi.org/10.3390/math10183376
Received: 22 July 2022 / Revised: 1 September 2022 / Accepted: 14 September 2022 / Published: 17 September 2022
(This article belongs to the Special Issue Current Research in Biostatistics)
Meta-analysis techniques allow researchers to jointly analyse different studies to determine common effects. In the field of transcriptomics, these methods have gained popularity in recent years due to the increasing number of datasets that are available in public repositories. Despite this, there is a limited number of statistical software packages that implement proper meta-analysis functionalities for this type of data. This article describes DExMA, an R package that provides a set of functions for performing gene expression meta-analyses, from data downloading to results visualization. Additionally, we implemented functions to control the number of missing genes, which can be a major issue when comparing studies generated with different analytical platforms. DExMA is freely available in the Bioconductor repository. View Full-Text
Keywords: missing data; gene expression; meta-analysis; R-package; data imputation missing data; gene expression; meta-analysis; R-package; data imputation
Show Figures

Figure 1

MDPI and ACS Style

Villatoro-García, J.A.; Martorell-Marugán, J.; Toro-Domínguez, D.; Román-Montoya, Y.; Femia, P.; Carmona-Sáez, P. DExMA: An R Package for Performing Gene Expression Meta-Analysis with Missing Genes. Mathematics 2022, 10, 3376. https://doi.org/10.3390/math10183376

AMA Style

Villatoro-García JA, Martorell-Marugán J, Toro-Domínguez D, Román-Montoya Y, Femia P, Carmona-Sáez P. DExMA: An R Package for Performing Gene Expression Meta-Analysis with Missing Genes. Mathematics. 2022; 10(18):3376. https://doi.org/10.3390/math10183376

Chicago/Turabian Style

Villatoro-García, Juan Antonio, Jordi Martorell-Marugán, Daniel Toro-Domínguez, Yolanda Román-Montoya, Pedro Femia, and Pedro Carmona-Sáez. 2022. "DExMA: An R Package for Performing Gene Expression Meta-Analysis with Missing Genes" Mathematics 10, no. 18: 3376. https://doi.org/10.3390/math10183376

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop