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EpiDISH specifications

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Unique identifier OMICS_15070
Name EpiDISH
Alternative name Epigenetic Dissection of Intra-Sample Heterogeneity
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
Computer skills Advanced
Version 1.0
Stability Stable
Maintained Yes

Subtool


  • CellDMC

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Maintainer


  • person_outline Andrew Teschendorff

Publications for Epigenetic Dissection of Intra-Sample Heterogeneity

EpiDISH citations

 (2)
library_books

Genetic estimators of DNA methylation provide insights into the molecular basis of polygenic traits

2018
PMCID: 5802460
PMID: 29382824
DOI: 10.1038/s41398-017-0070-x

[…] principal component analysis axes., cell type proportion estimates (cd4 t cells, cd8 t cells, natural killers, granulocytes, monocytes, and lymphocytes b) were obtained for each sample using the epidish-cibersort approach. in each testing dataset, we compared estimeth model performance before and after further linear regression adjustment of dnam for the estimated cell type proportions., dna […]

library_books

The epigenomic basis of common diseases

2017
Clin Epigenetics
PMCID: 5270348
PMID: 28149333
DOI: 10.1186/s13148-017-0313-y

[…] several bioinformatic tools for ewas interpretation such as eforge (http://eforge.cs.ucl.ac.uk), which identifies tissue or cell-type specific signals from illumina 450k methylation array data [], epidish (freely available from https://github.com/sjczheng/epidish), which can be used for epigenetic dissection of heterogeneity within a sample, and coralina (comprehensive guide rna library […]


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EpiDISH institution(s)
CAS Key Lab of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute for Biological Sciences, Chinese Academy of Sciences, Shanghai, China; Department of Women’s Cancer, University College London, London, UK; Statistical Cancer Genomics, Paul O’Gorman Building, UCL Cancer Institute, University College London, London, UK; Medical Genomics, Paul O’Gorman Building, UCL Cancer Institute, University College London, London, UK; University of Chinese Academy of Sciences, Beijing, China
EpiDISH funding source(s)
This work was supported by a Royal Society Newton Advanced Fellowship (AET & SB), NAF project number: 522438, NAF award number: 164914.

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