Thinking Beyond Disease Silos: Dysregulated Genes Common in Tuberculosis and Lung Cancer as Identified by Systems Biology and Machine Learning
Author:
Affiliation:
1. Department of Biotechnology, Brainware University, Barasat, India.
Publisher
Mary Ann Liebert Inc
Link
https://www.liebertpub.com/doi/pdf/10.1089/omi.2024.0116
Reference54 articles.
1. Bioinformatics Study and Experimental Evaluation of miR-182, and miR-34 Expression Profiles in Tuberculosis and Lung Cancer
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4. Diversity and inclusion in genomic research: why the uneven progress?
5. Pulmonary tuberculosis as differential diagnosis of lung cancer
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