MLSP: A bioinformatics tool for predicting molecular subtypes and prognosis in patients with breast cancer

The molecular landscape in breast cancer is characterized by large biological heterogeneity and variable clinical outcomes. Here, we performed an integrative multi-omics analysis of patients diagnosed with breast cancer. Using transcriptomic analysis, we identified three subtypes (cluster A, cluster...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhu, Jie, Kong, Weikaixin, Huang, Liting, Wang, Shixin, Bi, Suzhen, Wang, Yin, Shan, Peipei, Zhu, Sujie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9685393/
https://www.ncbi.nlm.nih.gov/pubmed/36467575
http://dx.doi.org/10.1016/j.csbj.2022.11.017

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9685393/
https://www.ncbi.nlm.nih.gov/pubmed/36467575
http://dx.doi.org/10.1016/j.csbj.2022.11.017

Ejemplares similares