Prediction of cardiac transcription networks based on molecular data and complex clinical phenotypes.
about
The cardiac transcription network modulated by Gata4, Mef2a, Nkx2.5, Srf, histone modifications, and microRNAsIdentifying the risk of producing aneuploids using meiotic recombination genes as biomarkers: A copy number variation approach.Hierarchical approaches for systems modeling in cardiac development.Outlier-based identification of copy number variations using targeted resequencing in a small cohort of patients with Tetralogy of Fallot.The use of network analyses for elucidating mechanisms in cardiovascular disease.p53 regulates the cardiac transcriptome.Systems biology approaches to heart development and congenital heart disease.Comparative DNA methylation and gene expression analysis identifies novel genes for structural congenital heart diseases.
P2860
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P2860
Prediction of cardiac transcription networks based on molecular data and complex clinical phenotypes.
description
2008 nî lūn-bûn
@nan
2008 թուականի Ապրիլին հրատարակուած գիտական յօդուած
@hyw
2008 թվականի ապրիլին հրատարակված գիտական հոդված
@hy
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
name
Prediction of cardiac transcri ...... d complex clinical phenotypes.
@ast
Prediction of cardiac transcri ...... d complex clinical phenotypes.
@en
type
label
Prediction of cardiac transcri ...... d complex clinical phenotypes.
@ast
Prediction of cardiac transcri ...... d complex clinical phenotypes.
@en
prefLabel
Prediction of cardiac transcri ...... d complex clinical phenotypes.
@ast
Prediction of cardiac transcri ...... d complex clinical phenotypes.
@en
P2093
P356
P1433
P1476
Prediction of cardiac transcri ...... d complex clinical phenotypes.
@en
P2093
Jenny J Fischer
Markus Schueler
Martje Toenjes
Silke Sperling
Stefanie Hammer
Utz J Pape
P2860
P304
P356
10.1039/B800207J
P577
2008-04-02T00:00:00Z