MetaFun: unveiling sex-based differences in multiple transcriptomic studies through comprehensive functional meta-analysis.

Fecha de publicación:

Autores de CIPF

Participantes ajenos a CIPF

  • Malmierca-Merlo P
  • Sánchez-Garcia R
  • Grillo-Risco R
  • Pérez-Díez I
  • Català-Senent JF
  • de la Iglesia-Vayá M
  • Hidalgo MR

Grupos de Investigación

Abstract

While sex-based differences in various health scenarios have been thoroughly acknowledged in the literature, we lack sufficient tools and methods that allow for an in-depth analysis of sex as a variable in biomedical research. To fill this knowledge gap, we created MetaFun as an easy-to-use web-based tool to meta-analyze multiple transcriptomic datasets with a sex-based perspective to gain major statistical power and biological soundness.

Datos de la publicación

ISSN/ISSNe:
2042-6410, 2042-6410

Biology of Sex Differences  BioMed Central

Tipo:
Article
Páginas:
66-66
PubMed:
39192356

Citas Recibidas en Web of Science: 2

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Métricas

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Keywords

  • FAIR data, Functional profiling, Meta-analysis, Personalized medicine, RNA-sequencing, Sex-based differences, Systematic review, Web tool

Campos de Estudio

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