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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...
Autores principales: | Flynn, Emily, Chang, Annie, Altman, Russ B. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
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 |
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