Joint conditional Gaussian graphical models with multiple sources of genomic data.
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Gene regulatory network inference using fused LASSO on multiple data setsNode-Structured Integrative Gaussian Graphical Model Guided by Pathway Information.Identify potential drugs for cardiovascular diseases caused by stress-induced genes in vascular smooth muscle cells.Quantitative assessment and validation of network inference methods in bioinformatics.
P2860
Joint conditional Gaussian graphical models with multiple sources of genomic data.
description
2013 nî lūn-bûn
@nan
2013 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի դեկտեմբերին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
Joint conditional Gaussian graphical models with multiple sources of genomic data.
@ast
Joint conditional Gaussian graphical models with multiple sources of genomic data.
@en
type
label
Joint conditional Gaussian graphical models with multiple sources of genomic data.
@ast
Joint conditional Gaussian graphical models with multiple sources of genomic data.
@en
prefLabel
Joint conditional Gaussian graphical models with multiple sources of genomic data.
@ast
Joint conditional Gaussian graphical models with multiple sources of genomic data.
@en
P2093
P2860
P356
P1476
Joint conditional Gaussian graphical models with multiple sources of genomic data.
@en
P2093
P2860
P356
10.3389/FGENE.2013.00294
P50
P577
2013-12-17T00:00:00Z