Back to search

Article

Unsupervised Detection of Rare Events in Liquid Biopsy Assays

2025-01-31

Abstract excerpt

The use of liquid biopsies in the detection, diagnosis and treatment monitoring of different types of cancers and other diseases often requires identifying and enumerating instances of analytes that are rare. Most current techniques that aim to computationally isolate these rare instances or events first learn the signature of the event, and then scan the appropriate biological assay for this signature. While such...

Topics

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

Identifiers and source

Literature Corpus work
5793802c-d53c-5fe5-ab07-0cfc57baff9c
DOI
10.1101/2025.01.29.635501
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.
Unsupervised Detection of Rare Events in Liquid Biopsy AssaysDOI 10.1101/2025.01.29.635501
Select a neighboring publication to make it the new centre.