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Annals of Medicine Volume 56, 2024 - Issue 1
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Infectious Diseases

Identification of MORN3 and LLGL2 as novel diagnostic biomarkers for latent tuberculosis infection using machine learning strategies and experimental verification

Longxiang Xiea Department of General Surgery, Huaihe Hospital of Henan University, Henan University, Kaifeng, Henan, China;b School of Basic Medical Sciences, Henan University, Kaifeng, Henan, ChinaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0001-6825-9690View further author information
ORCID Icon,
Gaoya Zhub School of Basic Medical Sciences, Henan University, Kaifeng, Henan, ChinaView further author information
,
Sibo Longc Department of Clinical Laboratory, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Institute, Beijing, ChinaView further author information
,
Mengna Wangb School of Basic Medical Sciences, Henan University, Kaifeng, Henan, ChinaView further author information
,
Xinxin Chengb School of Basic Medical Sciences, Henan University, Kaifeng, Henan, ChinaView further author information
,
Yuzhe Dongb School of Basic Medical Sciences, Henan University, Kaifeng, Henan, ChinaView further author information
,
Chaoyang Wanga Department of General Surgery, Huaihe Hospital of Henan University, Henan University, Kaifeng, Henan, ChinaView further author information
&
Guirong Wangc Department of Clinical Laboratory, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Institute, Beijing, ChinaCorrespondence[email protected]
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Article: 2380797 | Received 01 Apr 2024, Accepted 18 May 2024, Published online: 25 Jul 2024

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