Significant random signatures reveals new biomarker for breast cancer

BACKGROUND: In 2012, Venet et al. proposed that at least in the case of breast cancer, most published signatures are not significantly more associated with outcome than randomly generated signatures. They suggested that nominal p-value is not a good estimator to show the significance of a signature....

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Detalles Bibliográficos
Autores principales: Saberi Ansar, Elnaz, Eslahchii, Changiz, Rahimi, Mahsa, Geranpayeh, Lobat, Ebrahimi, Marzieh, Aghdam, Rosa, Kerdivel, Gwenneg
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6842262/
https://www.ncbi.nlm.nih.gov/pubmed/31703592
http://dx.doi.org/10.1186/s12920-019-0609-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6842262/
https://www.ncbi.nlm.nih.gov/pubmed/31703592
http://dx.doi.org/10.1186/s12920-019-0609-1

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