Predicting spatial and temporal gene expression using an integrative model of transcription factor occupancy and chromatin state.
about
Morphogen rules: design principles of gradient-mediated embryo patterningGenetic networks governing heart development.Active enhancer positions can be accurately predicted from chromatin marks and collective sequence motif data.Integrating motif, DNA accessibility and gene expression data to build regulatory maps in an organismModeling the cis-regulatory modules of genes expressed in developmental stages of Drosophila melanogaster.A computational algorithm for functional clustering of proteome dynamics during developmentThe scientific quest for lasting youth: prospects for curing aging.BNFinder2: Faster Bayesian network learning and Bayesian classificationCharacterization of the neural stem cell gene regulatory network identifies OLIG2 as a multifunctional regulator of self-renewalEnhancer modeling uncovers transcriptional signatures of individual cardiac cell states in Drosophila.A predictor for predicting Escherichia coli transcriptome and the effects of gene perturbations.A hyper-dynamic nature of bivalent promoter states underlies coordinated developmental gene expression modules.Probabilistic modelling of chromatin code landscape reveals functional diversity of enhancer-like chromatin states.Enhancer-promoter interactions are encoded by complex genomic signatures on looping chromatin.The Drosophila transcription factor Adf-1 (nalyot) regulates dendrite growth by controlling FasII and Staufen expression downstream of CaMKII and neural activity.Epigenomic elements enriched in the promoters of autoimmunity susceptibility genes.Deep conservation of cis-regulatory elements in metazoans.Predicting gene expression in massively parallel reporter assays: A comparative study.Evolution of Epigenetic Regulation in Vertebrate Genomes.McEnhancer: predicting gene expression via semi-supervised assignment of enhancers to target genes.Supervised learning method for predicting chromatin boundary associated insulator elements.Enhancer loops appear stable during development and are associated with paused polymerase.Distributed Bayesian networks reconstruction on the whole genome scale
P2860
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P2860
Predicting spatial and temporal gene expression using an integrative model of transcription factor occupancy and chromatin state.
description
2012 nî lūn-bûn
@nan
2012 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2012 թվականի դեկտեմբերին հրատարակված գիտական հոդված
@hy
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
name
Predicting spatial and tempora ...... occupancy and chromatin state.
@ast
Predicting spatial and tempora ...... occupancy and chromatin state.
@en
Predicting spatial and tempora ...... occupancy and chromatin state.
@nl
type
label
Predicting spatial and tempora ...... occupancy and chromatin state.
@ast
Predicting spatial and tempora ...... occupancy and chromatin state.
@en
Predicting spatial and tempora ...... occupancy and chromatin state.
@nl
prefLabel
Predicting spatial and tempora ...... occupancy and chromatin state.
@ast
Predicting spatial and tempora ...... occupancy and chromatin state.
@en
Predicting spatial and tempora ...... occupancy and chromatin state.
@nl
P2860
P1476
Predicting spatial and tempora ...... occupancy and chromatin state.
@en
P2093
Ya-Hsin Liu
Zhen Xuan Yeo
P2860
P304
P356
10.1371/JOURNAL.PCBI.1002798
P577
2012-12-06T00:00:00Z