Predicting the Progress of Tuberculosis by Inflammatory Response-Related Genes Based on Multiple Machine Learning Comprehensive Analysis
Background. Tuberculosis (TB), caused by the bacterium Mycobacterium tuberculosis, affects approximately one-quarter of the global population and is considered one of the most lethal infectious diseases worldwide. The prevention of latent tuberculosis infection (LTBI) from progressing into active tu...
Saved in:
Main Authors: | Shuai Ma, Peifei Peng, Zhihao Duan, Yifeng Fan, Xinzhi Li |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2023-01-01
|
Series: | Journal of Immunology Research |
Online Access: | http://dx.doi.org/10.1155/2023/7829286 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Trends and Progress on Antibiotic-Resistant Mycobacterium tuberculosis and Genes in relation to Human Immunodeficiency Virus
by: N. G. Mbewana Ntshanka, et al.
Published: (2023-01-01) -
Inflammatory Bowel Disease: Progress Towards a Gene
by: David A van Heel, et al.
Published: (2000-01-01) -
Six-Gene Signature Associated with Immune Cells in the Progression of Atherosclerosis Discovered by Comprehensive Bioinformatics Analyses
by: Bin Zhao, et al.
Published: (2020-01-01) -
Circadian rhythm related genes signature in glioma for drug resistance prediction: a comprehensive analysis integrating transcriptomics and machine learning
by: Junbo Liao, et al.
Published: (2025-02-01) -
The Impact of Osteopontin Gene Variations on Multiple Sclerosis Development and Progression
by: Cristoforo Comi, et al.
Published: (2012-01-01)