ArticleComputational and structural biotechnology journal2026
MetaOmixTools: A User-Friendly Web Suite for Meta-analysis of Ranked Features and Functional Enrichment.
Article in Computational and structural biotechnology journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Authors and funding
7 authors.
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Abstract
The growing number of omics datasets in public repositories provides an opportunity to enhance data reusability through data integration; however, complex statistical barriers often hinder the effective combination of independent studies. To address this problem, we present MetaOmixTools, an interactive web-based suite that streamlines the meta-analysis of ranked feature lists and functional enrichment profiles. The platform integrates 2 primary modules-MetaRank and MetaEnrich-within a code-free environment. MetaRank generates robust consensus rankings from multiple lists by implementing weighted (e.g., rank product) and unweighted (e.g., robust rank aggregation) strategies, while MetaEnrich performs functional meta-analyses by combining probability values from individual overrepresentation analyses using established statistical techniques. Using case studies, we established consensus rankings for acute spinal cord injury across heterogeneous platforms, identifying conserved inflammatory marker genes in the up-regulated gene list (e.g.,
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