Optimally discriminative subnetwork markers predict response to chemotherapy

Motivation: Molecular profiles of tumour samples have been widely and successfully used for classification problems. A number of algorithms have been proposed to predict classes of tumor samples based on expression profiles with relatively high performance. However, prediction of response to cancer...

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Detalles Bibliográficos
Autores principales: Dao, Phuong, Wang, Kendric, Collins, Colin, Ester, Martin, Lapuk, Anna, Sahinalp, S. Cenk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2011
Materias:
Ismb/Eccb 2011 Proceedings Papers Committee July 17 to July 19, 2011, Vienna, Austria
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3117373/
https://www.ncbi.nlm.nih.gov/pubmed/21685072
http://dx.doi.org/10.1093/bioinformatics/btr245

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3117373/
https://www.ncbi.nlm.nih.gov/pubmed/21685072
http://dx.doi.org/10.1093/bioinformatics/btr245

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