Machine learning characterization of a novel panel for metastatic prediction in breast cancer

<p>Metastasis is one of the most challenging problems in cancer diagnosis and treatment, as causal factors have yet to be fully disentangled. Prediction of the metastatic status of breast cancer is important for informing treatment protocols and reducing mortality. However, the systems biology...

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Hoofdauteurs: Melih Ağraz (Auteur), Umut Ağyüz (Auteur), E Celeste Welch (Auteur), Birol Kuyumcu (Auteur), M Furkan Burak (Auteur)
Formaat: Boek
Gepubliceerd in: Global Journal of Perioperative Medicine - Peertechz Publications, 2022-09-28.
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