Reference-free deconvolution of DNA methylation data and mediation by cell composition effects.
about
5-Hydroxymethylcytosine localizes to enhancer elements and is associated with survival in glioblastoma patients.Estimating and accounting for tumor purity in the analysis of DNA methylation data from cancer studiesComparison of different cell type correction methods for genome-scale epigenetics studies.Epigenetic Pathways in Human Disease: The Impact of DNA Methylation on Stress-Related Pathogenesis and Current Challenges in Biomarker Development.Fast and robust adjustment of cell mixtures in epigenome-wide association studies with SmartSVAeFORGE: A Tool for Identifying Cell Type-Specific Signal in Epigenomic Data.Enumerateblood - an R package to estimate the cellular composition of whole blood from Affymetrix Gene ST gene expression profiles.Underexpression of Specific Interferon Genes Is Associated with Poor Prognosis of MelanomaEpigenomic Deconvolution of Breast Tumors Reveals Metabolic Coupling between Constituent Cell Types.Epigenetics and allergy: from basic mechanisms to clinical applications.Salivary DNA Methylation Profiling: Aspects to Consider for Biomarker Identification.Identification of methylation haplotype blocks aids in deconvolution of heterogeneous tissue samples and tumor tissue-of-origin mapping from plasma DNA.Adolescent depression linked to socioeconomic status? Molecular approaches for revealing premorbid risk factors.Cell-type deconvolution in epigenome-wide association studies: a review and recommendations.Deconvolution of DNA methylation identifies differentially methylated gene regions on 1p36 across breast cancer subtypes.Roadmap for investigating epigenome deregulation and environmental origins of cancer.Normal breast tissue DNA methylation differences at regulatory elements are associated with the cancer risk factor age.MeDeCom: discovery and quantification of latent components of heterogeneous methylomes.DNA-Methylation and Body Composition in Preschool Children: Epigenome-Wide-Analysis in the European Childhood Obesity Project (CHOP)-Study.Birth weight discordance, DNA methylation, and cortical morphology of adolescent monozygotic twins.Statistical and integrative system-level analysis of DNA methylation data.Cell-type deconvolution from DNA methylation: a review of recent applications.Cadmium-Associated Differential Methylation throughout the Placental Genome: Epigenome-Wide Association Study of Two U.S. Birth Cohorts.Placental CpG methylation of infants born extremely preterm predicts cognitive impairment later in life.Global remodeling of the mouse DNA methylome during aging and in response to calorie restriction.GLI2 promoter hypermethylation in saliva of children with a respiratory allergy.Quantitation of the cellular content of saliva and buccal swab samples.Pan-cancer deconvolution of tumour composition using DNA methylationEpigenome-wide methylation differences in a group of lean and obese women - A HUNT StudyBayesCCE: a Bayesian framework for estimating cell-type composition from DNA methylation without the need for methylation referenceDNA methylation age is accelerated in alcohol dependence
P2860
Q30275355-25AF758D-8055-4483-90EF-60440DC840F6Q31156822-72C45FBA-BDDA-40BE-B334-8F01C3EE6D7AQ33564415-3F689649-FBD4-428A-AAA4-3DC9EA148813Q33603731-DA6E7F61-F8B9-4671-80B9-B45E06126055Q33733669-F54F26F3-257F-4C41-855C-0DD165D8F8FCQ36194281-02B9FE8F-0CA9-49AF-A731-91D428899C6AQ36243063-2B96363D-FAD4-42B3-9697-4B99C216A184Q36257430-B1167D79-9D4E-4F1C-8829-4C59541F6AE8Q37422742-137A4AF3-5362-4004-AF8C-16B258AD161EQ38742430-20D131EA-374C-48BD-B5DF-CC0C9D268132Q38789060-60C0FF9A-6DC0-48A1-AEE0-886C3BBF4461Q38927321-B9366546-853F-439F-BEAD-4EB099C5E999Q39090085-588F9410-D648-43B9-BB78-D8447D7F7540Q39314677-01E83451-137F-45AB-8352-2D46A9BA000FQ40040077-DEB47165-846B-49D3-8CF0-08751BB2170BQ40072626-C7E8386E-478B-41D1-9EBE-80805B41F821Q40128723-41B6FED2-1C75-4191-AB78-03B1C06BFA14Q42314347-D42DBCCE-6378-40CE-A2A4-BDF8CA2E09E0Q43759682-A2879281-C68A-4F01-B1AC-5BF18793C1CDQ47247289-487450E3-0C8C-4E2E-99F9-CED101B5AFCEQ47610713-EC6FC8E7-6D0D-4462-8040-F3F1C8DC5C51Q47661868-A4E2C2E5-50C9-4223-A9E6-175C49C69FC6Q49649277-330D6FB0-5FFF-4AB1-9F05-50EFEB0E40DDQ50420528-9B61CEA0-2DA9-414F-8870-20322988C878Q51759756-531E90E3-DD2F-4D42-AC39-A2BFFBA3FE8CQ52571296-48DC87B3-EBE1-4FF7-ADFC-4601875C7529Q55431973-13339A07-26D0-48F3-BEAF-28869E0DC003Q56890466-D4AB683D-6381-4486-A374-FE8F510CFB21Q58612384-936DF70B-F0D4-432D-891D-81004D3A631BQ58706567-39A86EF3-2099-41CD-820F-E5C96804D34CQ58763456-3CFD72D9-D712-485E-ADD0-42DF87CC60BA
P2860
Reference-free deconvolution of DNA methylation data and mediation by cell composition effects.
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
Reference-free deconvolution o ...... n by cell composition effects.
@ast
Reference-free deconvolution o ...... n by cell composition effects.
@en
type
label
Reference-free deconvolution o ...... n by cell composition effects.
@ast
Reference-free deconvolution o ...... n by cell composition effects.
@en
prefLabel
Reference-free deconvolution o ...... n by cell composition effects.
@ast
Reference-free deconvolution o ...... n by cell composition effects.
@en
P2093
P2860
P1433
P1476
Reference-free deconvolution o ...... on by cell composition effects
@en
P2093
David C Christiani
Karl T Kelsey
Molly L Kile
Tan A Ince
P2860
P2888
P356
10.1186/S12859-016-1140-4
P577
2016-06-29T00:00:00Z
P6179
1034385270