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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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Xehetasun bibliografikoak
Egile Nagusiak:	Melih Ağraz (Egilea), Umut Ağyüz (Egilea), E Celeste Welch (Egilea), Birol Kuyumcu (Egilea), M Furkan Burak (Egilea)
Formatua:	Liburua
Argitaratua:	Global Journal of Perioperative Medicine - Peertechz Publications, 2022-09-28.
Gaiak:	Research Article
Sarrera elektronikoa:	Connect to this object online.
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!

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