ArticleGenome biology2019
methylCC: technology-independent estimation of cell type composition using differentially methylated regions.
Article in Genome biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Accurate and reliable detection of clonal hematopoiesis in plasma cell-free DNA.Blood advances · 2026Article
- Article
- Examining cellular heterogeneity in human DNA methylation studies: Overview and recommendations.STAR protocols · 2025Review
- Article
- Unifying DNA methylation-basedBioinformatics advances · 2025Article
- Robust estimation of cancer and immune cell-type proportions from bulk tumor ATAC-Seq data.eLife · 2024Article
- Brain cell-type shifts in Alzheimer's disease, autism, and schizophrenia interrogated using methylomics and genetics.Science advances · 2024Article
- Noninvasive Detection of Neuroendocrine Prostate Cancer through Targeted Cell-free DNA Methylation.Cancer discovery · 2024Article
- Whole genome methylation sequencing in blood identifies extensive differential DNA methylation in late-onset dementia due to Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Article
- Buffy coat signatures of breast cancer risk in a prospective cohort study.Clinical epigenetics · 2023Article
- Article
- scDeconv: an R package to deconvolve bulk DNA methylation data with scRNA-seq data and paired bulk RNA-DNA methylation data.Briefings in bioinformatics · 2022Article
- Dietary omega-3 fatty acid intake impacts peripheral blood DNA methylation -anti-inflammatory effects and individual variability in a pilot study.The Journal of nutritional biochemistry · 2022Article
- Ultralow amounts of DNA from long-term archived serum samples produce high-quality methylomes.Clinical epigenetics · 2021Article
- Bioinformatic Estimation of DNA Methylation and Hydroxymethylation Proportions.Methods in molecular biology (Clifton, N.J.) · 2021Article
- Cord blood DNA methylome in newborns later diagnosed with autism spectrum disorder reflects early dysregulation of neurodevelopmental and X-linked genes.Genome medicine · 2020Article
- Reference-free deconvolution, visualization and interpretation of complex DNA methylation data using DecompPipeline, MeDeCom and FactorViz.Nature protocols · 2020Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
A major challenge in the analysis of DNA methylation (DNAm) data is variability introduced from intra-sample cellular heterogeneity, such as whole blood which is a convolution of DNAm profiles across a unique cell type. When this source of variability is confounded with an outcome of interest, if unaccounted for, false positives ensue. Current methods to estimate the cell type proportions in whole blood DNAm samples are only appropriate for one technology and lead to technology-specific biases if applied to data generated from other technologies. Here, we propose the technology-independent alternative: methylCC, which is available at https://github.com/stephaniehicks/methylCC.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.