Differential gene expression profiling reveals potential biomarkers and pharmacological compounds against SARS-CoV-2: insights from machine learning and bioinformatics approaches
M. Nazmul Hoque, Md. Arif Khan, Md. Arju Hossain, Md Imran Hasan, Md Habibur Rahman, Mahmoud E. S. Soliman, Yusha Araf, Chunfu Zheng, Tofazzal Islam
The paper identifies differentially expressed genes (DEGs) in COVID-19 patients and recovered individuals using machine learning, revealing potential biomarkers and therapeutic compounds.
bioRxiv · Mar 30, 2022 · PreprintBioinformatics