Identification of a gene signature for discriminating metastatic from primary melanoma using a molecular interaction network approach

Understanding the biological factors that are characteristic of metastasis in melanoma remains a key approach to improving treatment. In this study, we seek to identify a gene signature of metastatic melanoma. We configured a new network-based computational pipeline, combined with a machine learning...

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Detalles Bibliográficos
Autores principales: Metri, Rahul, Mohan, Abhilash, Nsengimana, Jérémie, Pozniak, Joanna, Molina-Paris, Carmen, Newton-Bishop, Julia, Bishop, David, Chandra, Nagasuma
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5725601/
https://www.ncbi.nlm.nih.gov/pubmed/29229936
http://dx.doi.org/10.1038/s41598-017-17330-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5725601/
https://www.ncbi.nlm.nih.gov/pubmed/29229936
http://dx.doi.org/10.1038/s41598-017-17330-0

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