M3D: a kernel-based test for spatially correlated changes in methylation profiles
about
Uncovering correlated variability in epigenomic datasets using the Karhunen-Loeve transformIntegrating Epigenomics into the Understanding of Biomedical InsightmethylPipe and compEpiTools: a suite of R packages for the integrative analysis of epigenomics data.Higher order methylation features for clustering and prediction in epigenomic studies.Tumor purity and differential methylation in cancer epigenomics.Computational epigenomics: challenges and opportunities.Kernel machine methods for integrative analysis of genome-wide methylation and genotyping studies.BPRMeth: a flexible Bioconductor package for modelling methylation profiles.
P2860
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P2860
M3D: a kernel-based test for spatially correlated changes in methylation profiles
description
2014 nî lūn-bûn
@nan
2014 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի նոյեմբերին 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
M3D: a kernel-based test for spatially correlated changes in methylation profiles
@ast
M3D: a kernel-based test for spatially correlated changes in methylation profiles
@en
type
label
M3D: a kernel-based test for spatially correlated changes in methylation profiles
@ast
M3D: a kernel-based test for spatially correlated changes in methylation profiles
@en
prefLabel
M3D: a kernel-based test for spatially correlated changes in methylation profiles
@ast
M3D: a kernel-based test for spatially correlated changes in methylation profiles
@en
P2093
P2860
P356
P1433
P1476
M3D: a kernel-based test for spatially correlated changes in methylation profiles
@en
P2093
Gabriele Schweikert
Guido Sanguinetti
Tom R Mayo
P2860
P304
P356
10.1093/BIOINFORMATICS/BTU749
P407
P577
2014-11-13T00:00:00Z