EARN: an ensemble machine learning algorithm to predict driver genes in metastatic breast cancer

BACKGROUND: Today, there are a lot of markers on the prognosis and diagnosis of complex diseases such as primary breast cancer. However, our understanding of the drivers that influence cancer aggression is limited. METHODS: In this work, we study somatic mutation data consists of 450 metastatic brea...

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Detalles Bibliográficos
Autores principales: Mirsadeghi, Leila, Haji Hosseini, Reza, Banaei-Moghaddam, Ali Mohammad, Kavousi, Kaveh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8105935/
https://www.ncbi.nlm.nih.gov/pubmed/33962648
http://dx.doi.org/10.1186/s12920-021-00974-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8105935/
https://www.ncbi.nlm.nih.gov/pubmed/33962648
http://dx.doi.org/10.1186/s12920-021-00974-3

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