EM-DeepSD: A Deep Neural Network Model Based on Cell-Free DNA End-Motif Signal Decomposition for Cancer Diagnosis

<b>Background and Objectives:</b> The accurate discrimination between patients with and without cancer using their cell-free DNA (cfDNA) is crucial for early cancer diagnosis. The end-motifs of cfDNA serve as significant cancer biomarkers, offering compelling prospects for cancer diagnos...

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Bibliographic Details

Published in:	Diagnostics
Main Authors:	Zhi-Yang Zhao, Chang-Ling Huang, Tong-Min Wang, Shi-Hao Zhou, Lu Pei, Wen-Hui Jia, Wei-Hua Jia
Format:	Article
Language:	English
Published:	MDPI AG 2025-05-01
Subjects:	cell-free DNA cancer diagnosis signal decomposition deep neural network
Online Access:	https://www.mdpi.com/2075-4418/15/9/1156