ArticleBioinformatics (Oxford, England)2020
decorate: differential epigenetic correlation test.
Article in Bioinformatics (Oxford, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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Who cites it
8 citing papers in PubMed.
- Transcriptional and epigenetic changes associated with lead exposure in spermatozoa.Asian journal of andrology · 2026Article
- Sex Differences in Brain Cell Type-Specific Chromatin Accessibility in Schizophrenia.Biological psychiatry · 2026Article
- The neuronal chromatin landscape in brains from individuals with schizophrenia is linked to early fetal development.Nature neuroscience · 2025Article
- Chromatin accessibility provides a window into the genetic etiology of human brain disease.Trends in genetics : TIG · 2025Review
- Sex differences in brain cell-type specific chromatin accessibility in schizophrenia.Research square · 2024Article
- The three-dimensional landscape of cortical chromatin accessibility in Alzheimer's disease.Nature neuroscience · 2022Article
- Chromatin domain alterations linked to 3D genome organization in a large cohort of schizophrenia and bipolar disorder brains.Nature neuroscience · 2022Article
- Downregulation of exhausted cytotoxic T cells in gene expression networks of multisystem inflammatory syndrome in children.Nature communications · 2021Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
motivationIdentifying correlated epigenetic features and finding differences in correlation between individuals with disease compared to controls can give novel insight into disease biology. This framework has been successful in analysis of gene expression data, but application to epigenetic data has been limited by the computational cost, lack of scalable software and lack of robust statistical tests.
resultsDecorate, differential epigenetic correlation test, identifies correlated epigenetic features and finds clusters of features that are differentially correlated between two or more subsets of the data. The software scales to genome-wide datasets of epigenetic assays on hundreds of individuals. We apply decorate to four large-scale datasets of DNA methylation, ATAC-seq and histone modification ChIP-seq. AVAILABILITY AND IMPLEMENTATION: decorate R package is available from https://github.com/GabrielHoffman/decorate. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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Registered trials
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.