Selecting high-dimensional mixed graphical models using minimal AIC or BIC forests.
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Network-enabled gene expression analysis.Validating the Italian Version of the Disgust and Propensity Scale-Revised.Multivariate analysis of microarray data: differential expression and differential connection.Mathematical and statistical modeling in cancer systems biologyAutomatic digital quantification of bone marrow myeloma volume in appendicular skeletons - clinical implications and prognostic significance.Mapping eQTL networks with mixed graphical Markov models.Acquisition and persistence of strain-specific methicillin-resistant Staphylococcus aureus and their determinants in community nursing homes.Vitellogenin expression in the oilseed rape pest Meligethes aeneus.What Is the Influence of Morphological Knowledge in the Early Stages of Reading Acquisition Among Low SES Children? A Graphical Modeling Approach.
P2860
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P2860
Selecting high-dimensional mixed graphical models using minimal AIC or BIC forests.
description
2010 nî lūn-bûn
@nan
2010 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
Selecting high-dimensional mixed graphical models using minimal AIC or BIC forests.
@ast
Selecting high-dimensional mixed graphical models using minimal AIC or BIC forests.
@en
Selecting high-dimensional mixed graphical models using minimal AIC or BIC forests.
@nl
type
label
Selecting high-dimensional mixed graphical models using minimal AIC or BIC forests.
@ast
Selecting high-dimensional mixed graphical models using minimal AIC or BIC forests.
@en
Selecting high-dimensional mixed graphical models using minimal AIC or BIC forests.
@nl
prefLabel
Selecting high-dimensional mixed graphical models using minimal AIC or BIC forests.
@ast
Selecting high-dimensional mixed graphical models using minimal AIC or BIC forests.
@en
Selecting high-dimensional mixed graphical models using minimal AIC or BIC forests.
@nl
P2860
P356
P1433
P1476
Selecting high-dimensional mixed graphical models using minimal AIC or BIC forests.
@en
P2093
David Edwards
Gabriel C G de Abreu
P2860
P2888
P356
10.1186/1471-2105-11-18
P577
2010-01-11T00:00:00Z
P5875
P6179
1026119205