Order Article Reprints

Lepkes L, Kayali M, Blümcke B, Weber J, Suszynska M, Schmidt S, Borde J, Klonowska K, Wappenschmidt B, Hauke J, et al. Performance of In Silico Prediction Tools for the Detection of Germline Copy Number Variations in Cancer Predisposition Genes in 4208 Female Index Patients with Familial Breast and Ovarian Cancer. Cancers. 2021; 13(1):118. https://doi.org/10.3390/cancers13010118

Lepkes, Louisa, Mohamad Kayali, Britta Blümcke, Jonas Weber, Malwina Suszynska, Sandra Schmidt, Julika Borde, Katarzyna Klonowska, Barbara Wappenschmidt, Jan Hauke, and et al. 2021. "Performance of In Silico Prediction Tools for the Detection of Germline Copy Number Variations in Cancer Predisposition Genes in 4208 Female Index Patients with Familial Breast and Ovarian Cancer" Cancers 13, no. 1: 118. https://doi.org/10.3390/cancers13010118

Lepkes, L., Kayali, M., Blümcke, B., Weber, J., Suszynska, M., Schmidt, S., Borde, J., Klonowska, K., Wappenschmidt, B., Hauke, J., Kozlowski, P., Schmutzler, R. K., Hahnen, E., & Ernst, C. (2021). Performance of In Silico Prediction Tools for the Detection of Germline Copy Number Variations in Cancer Predisposition Genes in 4208 Female Index Patients with Familial Breast and Ovarian Cancer. Cancers, 13(1), 118. https://doi.org/10.3390/cancers13010118