An Improved, Assay Platform Agnostic, Absolute Single Sample Breast Cancer Subtype Classifier

SIMPLE SUMMARY: A platform and normalization bias agnostic single sample classifier (SSC) is needed. A random forest SSC (MiniABS) utilizing 11 genes was developed and validated. MiniABS surpassed previous classifiers and can be applied on multiple platforms. MiniABS may provide a cost-effective str...

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Detalles Bibliográficos
Autores principales: Seo, Mi-kyoung, Paik, Soonmyung, Kim, Sangwoo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7761033/
https://www.ncbi.nlm.nih.gov/pubmed/33255759
http://dx.doi.org/10.3390/cancers12123506

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7761033/
https://www.ncbi.nlm.nih.gov/pubmed/33255759
http://dx.doi.org/10.3390/cancers12123506

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