Machine learning algorithms and biomarkers identification for pancreatic cancer diagnosis using multi-omics data integration

Pancreatic cancer is a lethal type of cancer with most of the cases being diagnosed in an advanced stage and poor prognosis. Developing new diagnostic and prognostic markers for pancreatic cancer can significantly improve early detection and patient outcomes. These biomarkers can potentially revolut...

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Vydáno v:	Pathology, research and practice Ročník 263; s. 155602
Hlavní autoři:	Rouzbahani, Arian Karimi, Khalili-Tanha, Ghazaleh, Rajabloo, Yasamin, Khojasteh-Leylakoohi, Fatemeh, Garjan, Hassan Shokri, Nazari, Elham, Avan, Amir
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Germany Elsevier GmbH 01.11.2024
Témata:	Algorithms Biomarkers Biomarkers, Tumor - analysis Diagnosis Humans Machine Learning Multiomics Pancreatic cancer Pancreatic Neoplasms - diagnosis Prognosis Biomarkers Prognosis Diagnosis Pancreatic cancer Machine learning
ISSN:	0344-0338, 1618-0631, 1618-0631
On-line přístup:	Získat plný text
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