Back to search

Article

cfMIND: A read-level methylation framework for accurate non-invasive disease detection using cell-free DNA

2026-05-16

Abstract excerpt

Plasma cell-free DNA (cfDNA) emerged as a promising non-invasive biomarker for cancers. However, reliable detection remains challenging due to the low abundance of tumor-derived cfDNA fragments and the dilution of informative methylation signals when aggregated into region-level features. Here, we propose a novel approach cfMIND, an efficient and robust machine-learning framework that leverages stratified read-lev...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
c9d634f7-8500-54d0-b130-4a91698f75d2
DOI
10.64898/2026.05.13.725033
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
cfMIND: A read-level methylation framework for accurate non-invasive disease detection using cell-free DNADOI 10.64898/2026.05.13.725033
Select a neighboring publication to make it the new centre.