Novel Long Non-coding RNA and LASSO Prediction Model to Better Identify Pulmonary Tuberculosis: A Case-Control Study in China

Novel Long Non-coding RNA and LASSO Prediction Model to Better Identify Pulmonary Tuberculosis: A Case-Control Study in China

IntroductionThe insufficient understanding and misdiagnosis of clinically diagnosed pulmonary tuberculosis (PTB) without an aetiological evidence is a major problem in the diagnosis of tuberculosis (TB). This study aims to confirm the value of Long non-coding RNA (lncRNA) n344917 in the diagnosis of...

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Bibliographic Details
Main Authors: Zirui Meng, Minjin Wang, Shuo Guo, Yanbing Zhou, Mengyuan Lyu, Xuejiao Hu, Hao Bai, Qian Wu, Chuanmin Tao, Binwu Ying
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-05-01
Series:Frontiers in Molecular Biosciences
Subjects:
pulmonary tuberculosis
clinically diagnosed pulmonary tuberculosis
prediction model
least absolute shrinkage and selection operator
electronic health record
laboratory findings
Online Access:https://www.frontiersin.org/articles/10.3389/fmolb.2021.632185/full

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https://www.frontiersin.org/articles/10.3389/fmolb.2021.632185/full

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