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...

ver descrição completa

Detalhes bibliográficos

Principais autores:	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
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2024-08-01
coleção:	Current Issues in Molecular Biology
Assuntos:	copy number variant Ai CNV
Acesso em linha:	https://www.mdpi.com/1467-3045/46/8/490
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!