ArticleMethods in molecular biology (Clifton, N.J.)2023
Cell-Type Deconvolution of Bulk DNA Methylation Data with EpiSCORE.
Article in Methods in molecular biology (Clifton, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Sellar region neurocytomas exhibit a CIMP and neuroendocrine-like epigenetic signature distinct from other intra-axial neurocytomas.Acta neuropathologica · 2026Article
- Article
- Cell-type-specific subtyping of epigenomes improves prognostic stratification of cancer.Genome medicine · 2025Article
- Developmentally dynamic changes in DNA methylation in the human pancreas.BMC genomics · 2024Article
- Microarray-Based DNA Methylation Profiling: Validation Considerations for Clinical Testing.The Journal of molecular diagnostics : JMD · 2024Article
- Kidney-specific methylation patterns correlate with kidney function and are lost upon kidney disease progression.Clinical epigenetics · 2024Article
- Optimization of diagnosis and treatment of hematological diseases via artificial intelligence.Frontiers in medicine · 2024Review
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Authors and funding
2 authors.
Funding
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Abstract
DNA methylation data generated from bulk tissue represents a mixture of many different cell types. Variation in the cell-type composition of tissues is thus a major confounder when inferring differential DNA methylation. Due to the high cost of single-cell methylome sequencing, computational methods that can dissect the cell-type heterogeneity of bulk DNA methylomes offer an efficient and cost-effective solution, especially in the context of large-scale EWAS. In this chapter, we present a step-by-step tutorial of Epigenetic cell-type deconvolution using Single-Cell Omic References (EpiSCORE), a reference-based method that leverages the high-resolution nature of single-cell RNA-Seq datasets to facilitate microdissection of bulk-tissue DNA methylomes.
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Registered trials
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