Mickael, M.-E.; Kubick, N.; Atanasov, A.G.; Martinek, P.; Horbańczuk, J.O.; Floretes, N.; Michal, M.; Vanecek, T.; Paszkiewicz, J.; Sacharczuk, M.;
et al. Using Copy Number Variation Data and Neural Networks to Predict Cancer Metastasis Origin Achieves High Area under the Curve Value with a Trade-Off in Precision. Curr. Issues Mol. Biol. 2024, 46, 8301-8319.
https://doi.org/10.3390/cimb46080490
AMA Style
Mickael M-E, Kubick N, Atanasov AG, Martinek P, Horbańczuk JO, Floretes N, Michal M, Vanecek T, Paszkiewicz J, Sacharczuk M,
et al. Using Copy Number Variation Data and Neural Networks to Predict Cancer Metastasis Origin Achieves High Area under the Curve Value with a Trade-Off in Precision. Current Issues in Molecular Biology. 2024; 46(8):8301-8319.
https://doi.org/10.3390/cimb46080490
Chicago/Turabian Style
Mickael, Michel-Edwar, Norwin Kubick, Atanas G. Atanasov, Petr Martinek, Jarosław Olav Horbańczuk, Nikko Floretes, Michael Michal, Tomas Vanecek, Justyna Paszkiewicz, Mariusz Sacharczuk,
and et al. 2024. "Using Copy Number Variation Data and Neural Networks to Predict Cancer Metastasis Origin Achieves High Area under the Curve Value with a Trade-Off in Precision" Current Issues in Molecular Biology 46, no. 8: 8301-8319.
https://doi.org/10.3390/cimb46080490
APA Style
Mickael, M.-E., Kubick, N., Atanasov, A. G., Martinek, P., Horbańczuk, J. O., Floretes, N., Michal, M., Vanecek, T., Paszkiewicz, J., Sacharczuk, M., & Religa, P.
(2024). Using Copy Number Variation Data and Neural Networks to Predict Cancer Metastasis Origin Achieves High Area under the Curve Value with a Trade-Off in Precision. Current Issues in Molecular Biology, 46(8), 8301-8319.
https://doi.org/10.3390/cimb46080490
