A Data Integration Approach for Detecting Biomarkers of Breast Cancer Survivability
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-45385-5_5
Reference20 articles.
1. DeSantis, C.E., Ma, J., Goding Sauer, A., Newman, L.A., Jemal, A.: Breast cancer statistics, 2017, racial disparity in mortality by state. CA Cancer J. Clin. 67(6), 439–448 (2017). https://doi.org/10.3322/caac.21412
2. American Cancer Society: Breast cancer facts & figures 2017–2018 (2017)
3. O’Shaughnessy, J.: Extending survival with chemotherapy in metastatic breast cancer. Oncologist 10(Suppl. 3), 20–29 (2005)
4. Van’t Veer, L.J., et al.: Gene expression profiling predicts clinical outcome of breast cancer. Nature 415(6871), 530 (2002). https://doi.org/10.1038/415530a
5. Pereira, B., et al.: The somatic mutation profiles of 2,433 breast cancers refine their genomic and transcriptomic landscapes. Nat. Commun. 7, 11479 (2016). https://doi.org/10.1038/ncomms11479
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