QR code

Construction of a diagnostic model for tuberculosis based on long non-coding RNA

Background The World Health Organization encourages the development of novel diagnostic tools based on ‘non-sputum’ samples to meet global goals for tuberculosis (TB) control. We aimed to develop a machine learning-driven model for TB diagnosis, using long non-coding RNAs (lncRNAs) as biomarkers.Met...

Volledige beschrijving

Bewaard in:
Hoofdauteurs: Xiuxiu Ji, Siyu Yao, Hongyan Jia, Qi Sun, Yingchao Wang, Xuetian Shang, Zeqi Wang, Mailing Huang, Lanyue Zhang, Chuanzhi Zhu, Qiuyue Liu, Liping Pan
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Taylor & Francis Group 2026-12-01
Reeks:Annals of Medicine
Onderwerpen:
Tuberculosis
long non-coding RNA
biomarker
weighted gene co-expression network analysis
machine learning
Online toegang:https://www.tandfonline.com/doi/10.1080/07853890.2026.2615538
Tags: Voeg label toe
Geen labels, Wees de eerste die dit record labelt!

Gelijkaardige items