A probabilistic generative model for quantification of DNA modifications enables analysis of demethylation pathways.
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A Bayesian Approach for Analysis of Whole-Genome Bisulfite Sequencing Data Identifies Disease-Associated Changes in DNA MethylationTET Methylcytosine Oxidases in T Cell and B Cell Development and Function.LuxGLM: a probabilistic covariate model for quantification of DNA methylation modifications with complex experimental designs.
P2860
A probabilistic generative model for quantification of DNA modifications enables analysis of demethylation pathways.
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
A probabilistic generative mod ...... sis of demethylation pathways.
@ast
A probabilistic generative mod ...... sis of demethylation pathways.
@en
type
label
A probabilistic generative mod ...... sis of demethylation pathways.
@ast
A probabilistic generative mod ...... sis of demethylation pathways.
@en
prefLabel
A probabilistic generative mod ...... sis of demethylation pathways.
@ast
A probabilistic generative mod ...... sis of demethylation pathways.
@en
P2093
P2860
P50
P1433
P1476
A probabilistic generative mod ...... sis of demethylation pathways.
@en
P2093
Anjana Rao
Harri Lähdesmäki
Tarmo Äijö
P2860
P2888
P356
10.1186/S13059-016-0911-6
P577
2016-03-14T00:00:00Z
P5875
P6179
1034193606