Computational pathology of pre-treatment biopsies identifies lymphocyte density as a predictor of response to neoadjuvant chemotherapy in breast cancer.

MLA

Ali, H.Raza, et al. “Computational Pathology of Pre-Treatment Biopsies Identifies Lymphocyte Density as a Predictor of Response to Neoadjuvant Chemotherapy in Breast Cancer.” Breast Cancer Research : BCR, vol. 18, no. 1, Feb. 2016, p. 21. EBSCOhost, https://doi.org/10.1186/s13058-016-0682-8.

APA

Ali, H. R., Dariush, A., Provenzano, E., Bardwell, H., Abraham, J. E., Iddawela, M., Vallier, A.-L., Hiller, L., Dunn, J. A., Bowden, S. J., Hickish, T., McAdam, K., Houston, S., Irwin, M. J., Pharoah, P. D. P., Brenton, J. D., Walton, N. A., Earl, H. M., & Caldas, C. (2016). Computational pathology of pre-treatment biopsies identifies lymphocyte density as a predictor of response to neoadjuvant chemotherapy in breast cancer. Breast Cancer Research : BCR, 18(1), 21. https://doi.org/10.1186/s13058-016-0682-8

Chicago

Ali, H Raza, Aliakbar Dariush, Elena Provenzano, Helen Bardwell, Jean E Abraham, Mahesh Iddawela, Anne-Laure Vallier, et al. 2016. “Computational Pathology of Pre-Treatment Biopsies Identifies Lymphocyte Density as a Predictor of Response to Neoadjuvant Chemotherapy in Breast Cancer.” Breast Cancer Research : BCR 18 (1): 21. doi:10.1186/s13058-016-0682-8.