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
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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. 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, 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 RK, Hahnen E, Ernst C. 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
Chicago/Turabian StyleLepkes, Louisa; Kayali, Mohamad; Blümcke, Britta; Weber, Jonas; Suszynska, Malwina; Schmidt, Sandra; Borde, Julika; Klonowska, Katarzyna; Wappenschmidt, Barbara; Hauke, Jan; Kozlowski, Piotr; Schmutzler, Rita K.; Hahnen, Eric; Ernst, Corinna. 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