Integrating traditional machine learning with qPCR validation to identify solid drug targets in pancreatic cancer: a 5-gene signature study

BackgroundPancreatic cancer remains one of the deadliest malignancies, largely due to its late diagnosis and lack of effective therapeutic targets.Materials and methodsUsing traditional machine learning methods, including random-effects meta-analysis and forward-search optimization, we developed a r...

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Bibliographic Details

Published in:	Frontiers in Pharmacology
Main Authors:	Xiaoyan Wang, Pengcheng Yu, Wei Jia, Bingbing Wan, Zhougui Ling, Yangyang Tang
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2025-01-01
Subjects:	pancreatic cancer biomarkers peripheral blood drug targets machine learning
Online Access:	https://www.frontiersin.org/articles/10.3389/fphar.2024.1539120/full