On the potential of models for location and scale for genome-wide DNA methylation data.
about
A statistical model for the analysis of beta values in DNA methylation studies.Stochastic epigenetic outliers can define field defects in cancer.Maternal Smoking during Pregnancy and DNA-Methylation in Children at Age 5.5 Years: Epigenome-Wide-Analysis in the European Childhood Obesity Project (CHOP)-Study.Characterization of whole-genome autosomal differences of DNA methylation between men and womenEvidence for Stress-like Alterations in the HPA-Axis in Women Taking Oral ContraceptivesStatistical and integrative system-level analysis of DNA methylation data.A permutation test to analyse systematic bias and random measurement errors of medical devices via boosting location and scale models.Robust joint score tests in the application of DNA methylation data analysis.
P2860
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P2860
On the potential of models for location and scale for genome-wide DNA methylation data.
description
2014 nî lūn-bûn
@nan
2014 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
On the potential of models for location and scale for genome-wide DNA methylation data.
@ast
On the potential of models for location and scale for genome-wide DNA methylation data.
@en
type
label
On the potential of models for location and scale for genome-wide DNA methylation data.
@ast
On the potential of models for location and scale for genome-wide DNA methylation data.
@en
prefLabel
On the potential of models for location and scale for genome-wide DNA methylation data.
@ast
On the potential of models for location and scale for genome-wide DNA methylation data.
@en
P2860
P50
P356
P1433
P1476
On the potential of models for location and scale for genome-wide DNA methylation data.
@en
P2093
Nora Fenske
Simone Wahl
P2860
P2888
P356
10.1186/1471-2105-15-232
P577
2014-07-03T00:00:00Z
P5875
P6179
1004443779