BayesCNV: A Bayesian Hierarchical Model for Sensitive and Specific Copy Number Estimation in Cell Free DNA

<b>Background/Objectives</b>: Detecting copy number variations (CNVs) from next-generation sequencing (NGS) is challenging, particularly in targeted sequencing panels, especially for cell-free DNA (cfDNA), where the signal is weak and noise is high. <b>Methods</b>: We present BayesCNV, a Bayesian hi...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Austin Talbot, Alex Kotlar, Lavanya Rishishwar, Andrew Conley, Mengyao Zhao, Nachen Yang, Michael Liu, Zhaohui Wang, Sean Polvino, Yue Ke
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	MDPI AG 2026-01-01
Sarja:	Diagnostics
Aiheet:	Bayesian hierarchical model copy number variation liquid biopsy next-generation sequencing probabilistic machine learning targeted sequencing
Linkit:	https://www.mdpi.com/2075-4418/16/2/280
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