Hormone Receptor-Status Prediction in Breast Cancer Using Gene Expression Profiles and Their Macroscopic Landscape

The cost of next-generation sequencing technologies is rapidly declining, making RNA-seq-based gene expression profiling (GEP) an affordable technique for predicting receptor expression status and intrinsic subtypes in breast cancer patients. Based on the expression levels of co-expressed genes, GEP...

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Detalles Bibliográficos
Autores principales: Yoon, Seokhyun, Won, Hye Sung, Kang, Keunsoo, Qiu, Kexin, Park, Woong June, Ko, Yoon Ho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7281553/
https://www.ncbi.nlm.nih.gov/pubmed/32380759
http://dx.doi.org/10.3390/cancers12051165

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7281553/
https://www.ncbi.nlm.nih.gov/pubmed/32380759
http://dx.doi.org/10.3390/cancers12051165

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