A pooling-based approach to mapping genetic variants associated with DNA methylation.
about
DeepCpG: accurate prediction of single-cell DNA methylation states using deep learningPredicting the impact of non-coding variants on DNA methylation.Systematic identification of genetic influences on methylation across the human life course.Pooled ChIP-Seq Links Variation in Transcription Factor Binding to Complex Disease Risk.Fishing for Function in the Human Gene Pool.Regions of common inter-individual DNA methylation differences in human monocytes: genetic basis and potential function.Whole-genome bisulfite sequencing of cell-free DNA identifies signature associated with metastatic breast cancer.Methylation of the genes ROD1, NLRC5, and HKR1 is associated with aging in Hainan centenarians.
P2860
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P2860
A pooling-based approach to mapping genetic variants associated with DNA methylation.
description
2015 nî lūn-bûn
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2015年の論文
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2015年論文
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2015年論文
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2015年論文
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2015年論文
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2015年論文
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name
A pooling-based approach to mapping genetic variants associated with DNA methylation.
@ast
A pooling-based approach to mapping genetic variants associated with DNA methylation.
@en
type
label
A pooling-based approach to mapping genetic variants associated with DNA methylation.
@ast
A pooling-based approach to mapping genetic variants associated with DNA methylation.
@en
prefLabel
A pooling-based approach to mapping genetic variants associated with DNA methylation.
@ast
A pooling-based approach to mapping genetic variants associated with DNA methylation.
@en
P2093
P2860
P356
P1433
P1476
A pooling-based approach to mapping genetic variants associated with DNA methylation.
@en
P2093
Hunter B Fraser
Irene M Kaplow
Julia L MacIsaac
Sarah M Mah
P2860
P304
P356
10.1101/GR.183749.114
P577
2015-04-24T00:00:00Z