A robust machine learning model based on ribosomal‐subunit‐derived piRNAs for diagnostic potential of nonsmall cell lung cancer across multicentre, large‐scale of sequencing data

Abstract Nonsmall cell lung cancer (NSCLC) is a lethal cancer and lacks robust biomarkers for noninvasive clinical diagnosis. Detecting NSCLC at the early stage can decrease the mortality rate and minimise harm caused by various treatments. We curated 2050 samples from public tissue and plasma datas...

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Bibliographic Details
Main Authors:	Zitong Gao, Masaki Nasu, Gehan Devendra, Ayman A. Abdul‐Ghani, Anthony J. Herrera, Jeffrey A. Borgia, Christopher W. Seder, Donna Lee Kuehu, Zhuokun Feng, Yu Chen, Ting Gong, Zao Zhang, Owen Chan, Hua Yang, Jianhua Yu, Yuanyuan Fu, Lang Wu, Youping Deng
Format:	Article
Language:	English
Published:	Wiley 2025-08-01
Series:	Clinical and Translational Medicine
Subjects:	machine learning noninvasive diagnosis nonsmall cell lung cancer PIWI‐interacting RNA small noncoding RNA
Online Access:	https://doi.org/10.1002/ctm2.70418
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A robust machine learning model based on ribosomal‐subunit‐derived piRNAs for diagnostic potential of nonsmall cell lung cancer across multicentre, large‐scale of sequencing data

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