Driver pattern identification over the gene co-expression of drug response in ovarian cancer by integrating high throughput genomics data
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://www.nature.com/articles/s41598-017-16286-5.pdf
Reference64 articles.
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3. Adib, T. R. et al. Predicting biomarkers for ovarian cancer using gene-expression microarrays. British Journal of Cancer 90, 686–692 (2004).
4. Youn, A. & Simon, R. Identifying cancer driver genes in tumor genome sequencing studies. Bioinformatics 27, 175–181 (2010).
5. Tomasetti, C., Marchionni, L., Nowak, M. A., Parmigiani, G. & Vogelstein, B. Only three driver gene mutations are required for the development of lung and colorectal cancers. Proceedings of the National Academy of Sciences 112, 118–123 (2014).
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