Back to search

Article

A Computational Pipeline for Stratifying Autoimmune Patients Using Binary Antibody Data

2025-09-12

Abstract excerpt

This method describes a computational pipeline for stratifying autoimmune patient groups using exclusively binary autoantibody data. Our method addresses a methodological gap in computational immunology by providing a standardized framework for analyzing categorical serological data commonly found in electronic health records and resource-limited settings. The pipeline integrates three complementary analytical mod...

Topics

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

Identifiers and source

Literature Corpus work
359168f3-d234-538f-9499-868aa71347b5
DOI
10.1101/2025.09.11.670596
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.
A Computational Pipeline for Stratifying Autoimmune Patients Using Binary Antibody DataDOI 10.1101/2025.09.11.670596
Select a neighboring publication to make it the new centre.