2021
DOI: 10.1089/cmb.2020.0081
|View full text |Cite
|
Sign up to set email alerts
|

GeneDMRs: An R Package for Gene-Based Differentially Methylated Regions Analysis

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
3
0

Year Published

2022
2022
2023
2023

Publication Types

Select...
5
1

Relationship

0
6

Authors

Journals

citations
Cited by 6 publications
(3 citation statements)
references
References 36 publications
0
3
0
Order By: Relevance
“…q Values < 0.05 and methylation difference ≥ 25%. B Scheme of CpGi, promoters, and gene body modified from Wang et al [ 2 ] (upper) and distribution of DMRs (lower). DMRs of CpG site are mainly intergenic regions.…”
Section: Resultsmentioning
confidence: 99%
“…q Values < 0.05 and methylation difference ≥ 25%. B Scheme of CpGi, promoters, and gene body modified from Wang et al [ 2 ] (upper) and distribution of DMRs (lower). DMRs of CpG site are mainly intergenic regions.…”
Section: Resultsmentioning
confidence: 99%
“…Differentially methylated bins showing at least 20% methylation level difference with Q -value (<0.05) calculated using Fisher's exact test and showing 2-fold difference were considered as DMRs. The DMRs were annotated through gene territories using GeneDMRs of R package (Wang et al, 2021b ).…”
Section: Methodsmentioning
confidence: 99%
“…Over the last decade, a number of computational approaches have been developed to identify genes that are abnormally methylated in human diseases. Some methods are tailored to the analysis of DNAme data from bisulfite sequencing, 4 , 5 , 6 , 7 while others are designed for array-based data or can be adapted to both platforms. 8 , 9 , 10 , 11 , 12 Many existing methods identify differentially methylated loci by comparing all samples from an experimental group with those from a control group.…”
Section: Introductionmentioning
confidence: 99%