Large-scale labeling and assessment of sex bias in publicly available expression data

BACKGROUND: Women are at more than 1.5-fold higher risk for clinically relevant adverse drug events. While this higher prevalence is partially due to gender-related effects, biological sex differences likely also impact drug response. Publicly available gene expression databases provide a unique opp...

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Detalles Bibliográficos
Autores principales: Flynn, Emily, Chang, Annie, Altman, Russ B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8011224/
https://www.ncbi.nlm.nih.gov/pubmed/33784977
http://dx.doi.org/10.1186/s12859-021-04070-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8011224/
https://www.ncbi.nlm.nih.gov/pubmed/33784977
http://dx.doi.org/10.1186/s12859-021-04070-2

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