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Updated: Jan 8, 2026
Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
Published on: October 11, 2018
MALAT1 and HIST1H2BC as connecting diagnostic biomarkers in Ebola and its overlapping disease: An integrative
Shaheen Hayat1, Khalid Raza2, Mohd Murshad Ahmad1
1Centre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, New Delhi, India.
Abstract:
Diagnostic biomarker for Ebola Virus Disease (EVD) and its overlapping diseases, which include COVID-19, monkey pox, AIDS and uveitis, is of interest. The gene-disease association network was built by using human microarray datasets from the GEO database. The comparison based on Jaccard's similarity index showed 27 intersected differentially expressed genes (DEGs), with AIDS having the highest genomic association with EVD. Gene-disease interaction analysis revealed Metastasis-associated lung adenocarcinoma transcript-1 (MALAT1) and histone cluster 1, H2bc (HIST1H2BC) as the most relevant diagnostic biomarkers. Thus, the dg IDB database provided potential for drug repurposing, targeted therapy and broad-spectrum antiviral applications.
