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

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

The accurate identification of the primary tumor origin in metastatic cancer cases is crucial for guiding treatment decisions and improving patient outcomes. Copy number alterations (CNAs) and copy number variation (CNV) have emerged as valuable genomic markers for predicting the origin of metastase...

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Bibliographic Details
Main Authors: Michel-Edwar Mickael, Norwin Kubick, Atanas G. Atanasov, Petr Martinek, Jarosław Olav Horbańczuk, Nikko Floretes, Michael Michal, Tomas Vanecek, Justyna Paszkiewicz, Mariusz Sacharczuk, Piotr Religa
Format: Article
Language:English
Published: MDPI AG 2024-08-01
Series:Current Issues in Molecular Biology
Subjects:
copy number variant
Ai
CNV
Online Access:https://www.mdpi.com/1467-3045/46/8/490

Internet

https://www.mdpi.com/1467-3045/46/8/490

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