Peak analysis of cell-free RNA finds recurrently protected narrow regions with clinical potential.

ABSTRACT:

Background

Cell-free RNAs (cfRNAs) can be detected in biofluids and have emerged as valuable disease biomarkers. Accurate identification of the fragmented cfRNA signals, especially those originating from pathological cells, is crucial for understanding their biological functions and clinical value. However, many challenges still need to be addressed for their application, including developing specific analysis methods and translating cfRNA fragments with biological support into clinical applications.

Results

We present cfPeak, a novel method combining statistics and machine learning models to detect the fragmented cfRNA signals effectively. When test in real and artificial cfRNA sequencing (cfRNA-seq) data, cfPeak shows an improved performance compared with other applicable

SUBMITTER: Bao P 

PROVIDER: S-EPMC12060323 | biostudies-literature | 2025 May

REPOSITORIES: biostudies-literature