ArticleComputational and structural biotechnology journal2025
Statistical modeling of immunoprecipitation efficiency of MeRIP-seq data enabled accurate detection and quantification of epitranscriptome.
Article in Computational and structural biotechnology journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Emerging Technologies for Exploring the Cellular Mechanisms in Vascular Diseases.International journal of molecular sciences · 2025Review
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Authors and funding
9 authors.
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Abstract
Background: Recent advancements in epitranscriptomics highlight reversible RNA modifications as crucial regulators, with N6-methyladenosine (m Results: We develop a comprehensive analytical tool, AEEIP, for estimating the IP efficiency and correcting antibody bias in epitranscriptomics directly, AEEIP employs a mixture model to estimate the proportion of modification-containing RNA fragments from the source of IP data. Validation with both simulated and real data shows that AEEIP successfully estimates antibody bias across different replicates and experimental conditions, and reveals that this bias may obscure the accurate identification of m
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