ipDMR: identification of differentially methylated regions with interval P-values is a research paper published in Bioinformatics (2020). On theSindex it has a DataRank of 0. It has been cited 64 times.
Scored on demand from live citation data
Linked data & code
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full — never from an abstract alone.
National Institute of Environmental Health Sciences
Grant: Z01 ES049033
National Institute of Environmental Health Sciences
Grant: Z01 ES049032
National Institute of Environmental Health Sciences
Grant: Z01 ES044005
National Institute of Environmental Health Sciences Award
Grant: P30ES00606
FWCI
2.83
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Additional file 1 of Longitudinal associations of DNA methylation and sleep in children: a meta-analysis
Additional file 1 of Longitudinal associations of DNA methylation and sleep in children: a meta-analysis
Additional file 2 of Longitudinal associations of DNA methylation and sleep in children: a meta-analysis
Additional file 2 of Longitudinal associations of DNA methylation and sleep in children: a meta-analysis
Additional file 1 of Maternal blood pressure associates with placental DNA methylation both directly and through alterations in cell-type composition
Additional file 1 of Maternal blood pressure associates with placental DNA methylation both directly and through alterations in cell-type composition
Additional file 1 of Mediation effects of DNA methylation and hydroxymethylation on birth outcomes after prenatal per- and polyfluoroalkyl substances (PFAS) exposure in the Michigan mother–infant Pairs cohort
Additional file 1 of Mediation effects of DNA methylation and hydroxymethylation on birth outcomes after prenatal per- and polyfluoroalkyl substances (PFAS) exposure in the Michigan mother–infant Pairs cohort
Additional file 2 of Epigenomic signature of major congenital heart defects in newborns with Down syndrome
Additional file 2 of Epigenomic signature of major congenital heart defects in newborns with Down syndrome
Additional file 6 of A novel approach toward optimal workflow selection for DNA methylation biomarker discovery
Additional file 6 of A novel approach toward optimal workflow selection for DNA methylation biomarker discovery
Additional file 1 of Epigenomic signature of major congenital heart defects in newborns with Down syndrome
Additional file 1 of Epigenomic signature of major congenital heart defects in newborns with Down syndrome
Additional file 4 of A novel approach toward optimal workflow selection for DNA methylation biomarker discovery
Additional file 5 of A novel approach toward optimal workflow selection for DNA methylation biomarker discovery
Additional file 5 of A novel approach toward optimal workflow selection for DNA methylation biomarker discovery
Additional file 4 of A novel approach toward optimal workflow selection for DNA methylation biomarker discovery
Additional file 2 of A novel approach toward optimal workflow selection for DNA methylation biomarker discovery
Additional file 3 of A novel approach toward optimal workflow selection for DNA methylation biomarker discovery