Mapping eQTL networks with mixed graphical Markov models.
about
Exploring causal networks underlying fat deposition and muscularity in pigs through the integration of phenotypic, genotypic and transcriptomic dataMetabox: A Toolbox for Metabolomic Data Analysis, Interpretation and Integrative Exploration.The propagation of perturbations in rewired bacterial gene networks.Modelling local gene networks increases power to detect trans-acting genetic effects on gene expression.Networks Underpinning Symbiosis Revealed Through Cross-Species eQTL Mapping.A deep auto-encoder model for gene expression prediction.Network-Guided Biomarker Discovery
P2860
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P2860
Mapping eQTL networks with mixed graphical Markov models.
description
2014 nî lūn-bûn
@nan
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
2014年论文
@zh
2014年论文
@zh-cn
name
Mapping eQTL networks with mixed graphical Markov models.
@en
Mapping eQTL networks with mixed graphical Markov models.
@nl
type
label
Mapping eQTL networks with mixed graphical Markov models.
@en
Mapping eQTL networks with mixed graphical Markov models.
@nl
prefLabel
Mapping eQTL networks with mixed graphical Markov models.
@en
Mapping eQTL networks with mixed graphical Markov models.
@nl
P2860
P1433
P1476
Mapping eQTL networks with mixed graphical Markov models.
@en
P2093
Alberto Roverato
P2860
P304
P356
10.1534/GENETICS.114.169573
P407
P577
2014-09-29T00:00:00Z