Cite
Genomic signatures for paclitaxel and gemcitabine resistance in breast cancer derived by machine learning.
MLA
Dorman, Stephanie N., et al. “Genomic Signatures for Paclitaxel and Gemcitabine Resistance in Breast Cancer Derived by Machine Learning.” Molecular Oncology, vol. 10, no. 1, Jan. 2016, pp. 85–100. EBSCOhost, https://doi.org/10.1016/j.molonc.2015.07.006.
APA
Dorman, S. N., Baranova, K., Knoll, J. H. M., Urquhart, B. L., Mariani, G., Carcangiu, M. L., & Rogan, P. K. (2016). Genomic signatures for paclitaxel and gemcitabine resistance in breast cancer derived by machine learning. Molecular Oncology, 10(1), 85–100. https://doi.org/10.1016/j.molonc.2015.07.006
Chicago
Dorman, Stephanie N, Katherina Baranova, Joan H M Knoll, Brad L Urquhart, Gabriella Mariani, Maria Luisa Carcangiu, and Peter K Rogan. 2016. “Genomic Signatures for Paclitaxel and Gemcitabine Resistance in Breast Cancer Derived by Machine Learning.” Molecular Oncology 10 (1): 85–100. doi:10.1016/j.molonc.2015.07.006.