Classifying Breast Cancer Subtypes Using Multiple Kernel Learning Based on Omics Data

It is very significant to explore the intrinsic differences in breast cancer subtypes. These intrinsic differences are closely related to clinical diagnosis and designation of treatment plans. With the accumulation of biological and medicine datasets, there are many different omics data that can be...

Descripción completa

Detalles Bibliográficos
Autores principales: Tao, Mingxin, Song, Tianci, Du, Wei, Han, Siyu, Zuo, Chunman, Li, Ying, Wang, Yan, Yang, Zekun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6471546/
https://www.ncbi.nlm.nih.gov/pubmed/30866472
http://dx.doi.org/10.3390/genes10030200

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6471546/
https://www.ncbi.nlm.nih.gov/pubmed/30866472
http://dx.doi.org/10.3390/genes10030200

Ejemplares similares