Identification of potential biomarkers for 2022 Mpox virus infection: a transcriptomic network analysis and machine learning approach.

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Title: Identification of potential biomarkers for 2022 Mpox virus infection: a transcriptomic network analysis and machine learning approach.
Authors: Debnath JP; Department of Biochemistry and Molecular Biology, Shahjalal University of Science and Technology, Sylhet, 3114, Bangladesh., Hossen K; Department of Biochemistry and Molecular Biology, Shahjalal University of Science and Technology, Sylhet, 3114, Bangladesh., Sayed SB; Department of Biochemistry and Molecular Biology, Shahjalal University of Science and Technology, Sylhet, 3114, Bangladesh., Khandaker MS; Department of Biochemistry and Molecular Biology, Shahjalal University of Science and Technology, Sylhet, 3114, Bangladesh., Dev PC; Child Health Research Foundation, Dhaka, 1207, Bangladesh. preonath@chrfbd.org., Sarker S; Clinical Laboratory, Medi Check Medical Service Limited, Cumilla, 3500, Bangladesh. saifuddin@medicheckbd.com., Hossain T; Department of Biochemistry and Molecular Biology, Shahjalal University of Science and Technology, Sylhet, 3114, Bangladesh. tanvir-bmb@sust.edu.
Source: Scientific reports [Sci Rep] 2025 Jan 23; Vol. 15 (1), pp. 2922. Date of Electronic Publication: 2025 Jan 23.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2045-2322
DOI:10.1038/s41598-024-80519-7