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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| 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 |