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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| Egile Nagusiak: | , , , , , , , , , , |
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| Formatua: | Artigo |
| Hizkuntza: | Inglês |
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MDPI AG
2024-08-01
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| Saila: | Current Issues in Molecular Biology |
| Gaiak: | |
| Sarrera elektronikoa: | https://www.mdpi.com/1467-3045/46/8/490 |
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