eFORGE: A Tool for Identifying Cell Type-Specific Signal in Epigenomic Data.

eFORGE: A Tool for Identifying Cell Type-Specific Signal in Epigenomic Data.

Item
http://www.wikidata.org/entity/Q36194281
Association of Body Mass Index with DNA Methylation and Gene Expression in Blood Cells and Relations to Cardiometabolic Disease: A Mendelian Randomization Approach.DNA methylation signatures of chronic low-grade inflammation are associated with complex diseases.The epigenomic basis of common diseases.Clinical implications of genome-wide DNA methylation studies in acute myeloid leukemia.The Epigenomic Analysis of Human Obesity.Fruit and Juice Epigenetic Signatures Are Associated with Independent Immunoregulatory Pathways.Is cellular heterogeneity merely a confounder to be removed from epigenome-wide association studies?Normal breast tissue DNA methylation differences at regulatory elements are associated with the cancer risk factor age.Epigenomic annotation-based interpretation of genomic data: from enrichment analysis to machine learning.DNA Methylation Analysis Identifies Loci for Blood Pressure Regulation.Epigenome-wide association studies identify DNA methylation associated with kidney function.Smoking induces DNA methylation changes in Multiple Sclerosis patients with exposure-response relationship.Iterative random forests to discover predictive and stable high-order interactions.Statistical and integrative system-level analysis of DNA methylation data.DNA methylation as a marker of response in rheumatoid arthritis.Epigenome-Wide Association Study of Soluble Tumor Necrosis Factor Receptor 2 Levels in the Framingham Heart Study.Genome-wide analysis of DNA methylation in buccal cells: a study of monozygotic twins and mQTLs
P2860

eFORGE: A Tool for Identifying Cell Type-Specific Signal in Epigenomic Data.

Item
http://www.wikidata.org/entity/Q36194281
description
2016 nî lūn-bûn
@nan
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
2016年论文
@zh
2016年论文
@zh-cn
name
eFORGE: A Tool for Identifying Cell Type-Specific Signal in Epigenomic Data.
@ast
eFORGE: A Tool for Identifying Cell Type-Specific Signal in Epigenomic Data.
@en
type
label
eFORGE: A Tool for Identifying Cell Type-Specific Signal in Epigenomic Data.
@ast
eFORGE: A Tool for Identifying Cell Type-Specific Signal in Epigenomic Data.
@en
prefLabel
eFORGE: A Tool for Identifying Cell Type-Specific Signal in Epigenomic Data.
@ast
eFORGE: A Tool for Identifying Cell Type-Specific Signal in Epigenomic Data.
@en
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P2860
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eFORGE: A Tool for Identifying Cell Type-Specific Signal in Epigenomic Data.
@en
P2093
P2860
P304
P31
P356
10.1016/J.CELREP.2016.10.059
P433
P478
P50
P577
P698
P932