Computational discovery of pathway-level genetic vulnerabilities in non-small-cell lung cancer

Motivation: Novel approaches are needed for discovery of targeted therapies for non-small-cell lung cancer (NSCLC) that are specific to certain patients. Whole genome RNAi screening of lung cancer cell lines provides an ideal source for determining candidate drug targets. Results: Unsupervised learn...

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Detalles Bibliográficos
Autores principales: Young, Jonathan H., Peyton, Michael, Seok Kim, Hyun, McMillan, Elizabeth, Minna, John D., White, Michael A., Marcotte, Edward M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4848405/
https://www.ncbi.nlm.nih.gov/pubmed/26755624
http://dx.doi.org/10.1093/bioinformatics/btw010

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4848405/
https://www.ncbi.nlm.nih.gov/pubmed/26755624
http://dx.doi.org/10.1093/bioinformatics/btw010

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