Evidence map›Paper›PMID 35741417›Full record

ArticleBiology2022

MAGE: An Open-Source Tool for Meta-Analysis of Gene Expression Studies.

Ioannis A Tamposis, Georgios A Manios, Theodosia Charitou, Konstantina E Vennou, Panagiota I Kontou, Pantelis G Bagos

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Ioannis A TamposisDepartment of Computer Science and Biomedical Informatics, University of Thessaly, 35131 Lamia, Greece.ORCID 0000-0001-9247-6871
Georgios A ManiosDepartment of Computer Science and Biomedical Informatics, University of Thessaly, 35131 Lamia, Greece.
Theodosia CharitouDepartment of Computer Science and Biomedical Informatics, University of Thessaly, 35131 Lamia, Greece.
Konstantina E VennouDepartment of Computer Science and Biomedical Informatics, University of Thessaly, 35131 Lamia, Greece.
Panagiota I KontouDepartment of Mathematics, University of Thessaly, 35131 Lamia, Greece.
Pantelis G BagosDepartment of Computer Science and Biomedical Informatics, University of Thessaly, 35131 Lamia, Greece.ORCID 0000-0003-4935-2325

Funding

GENOMIC OASIS: GENOMIC analysis of Organisms of Agricultural and liveStock Interest in Sterea 5045902
6 · The paper itself

Abstract

MAGE (Meta-Analysis of Gene Expression) is a Python open-source software package designed to perform meta-analysis and functional enrichment analysis of gene expression data. We incorporate standard methods for the meta-analysis of gene expression studies, bootstrap standard errors, corrections for multiple testing, and meta-analysis of multiple outcomes. Importantly, the MAGE toolkit includes additional features for the conversion of probes to gene identifiers, and for conducting functional enrichment analysis, with annotated results, of statistically significant enriched terms in several formats. Along with the tool itself, a web-based infrastructure was also developed to support the features of this package.

Indexed as

differentially expressed genesenrichment analysisgene expression studiesmeta-analysismultiple outcomes

Identifiers

PMID35741417
PMCPMC9220151

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.