Gene regulatory networks in plants: learning causality from time and perturbation.
about
From milliseconds to lifetimes: tracking the dynamic behavior of transcription factors in gene networksEnhancing gene regulatory network inference through data integration with markov random fieldsA roadmap for research on crassulacean acid metabolism (CAM) to enhance sustainable food and bioenergy production in a hotter, drier world.Prediction of tissue-specific effects of gene knockout on apoptosis in different anatomical structures of human brain.Exploring potential new floral organ morphogenesis genes of Arabidopsis thaliana using systems biology approachRevealing insect herbivory-induced phenolamide metabolism: from single genes to metabolic network plasticity analysis.Modelling transcriptional networks in leaf senescence.The challenges of commercializing second-generation transgenic crop traits necessitate the development of international public sector research infrastructure.Multidimensional approaches for studying plant defence against insects: from ecology to omics and synthetic biology.Integration of omic networks in a developmental atlas of maize.Construction and Optimization of a Large Gene Coexpression Network in Maize Using RNA-Seq Data.Insights into the Ecology and Evolution of Polyploid Plants through Network Analysis.CRISPR/Cas9 for plant genome editing: accomplishments, problems and prospects.A matter of time - How transient transcription factor interactions create dynamic gene regulatory networks.Temporal network analysis identifies early physiological and transcriptomic indicators of mild drought in Brassica rapa.In Silico Gene Regulatory Network of the Maurer's Cleft Pathway in Plasmodium falciparumDiurnal Transcriptome and Gene Network Represented through Sparse Modeling in Brachypodium distachyon.Changes in Gene Expression in Space and Time Orchestrate Environmentally Mediated Shaping of Root Architecture.TransDetect Identifies a New Regulatory Module Controlling Phosphate Accumulation.From Genes to Networks: Characterizing Gene-Regulatory Interactions in Plants.The G-Box Transcriptional Regulatory Code in Arabidopsis.A Systems Biology Study in Tomato Fruit Reveals Correlations between the Ascorbate Pool and Genes Involved in Ribosome Biogenesis, Translation, and the Heat-Shock Response.Hub Protein Controversy: Taking a Closer Look at Plant Stress Response Hubs.Temporal transcriptional logic of dynamic regulatory networks underlying nitrogen signaling and use in plants.Complex networks of functional connectivity in a wetland reconnected to its floodplain
P2860
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P2860
Gene regulatory networks in plants: learning causality from time and perturbation.
description
2013 nî lūn-bûn
@nan
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
2013年论文
@zh
2013年论文
@zh-cn
name
Gene regulatory networks in plants: learning causality from time and perturbation.
@en
Gene regulatory networks in plants: learning causality from time and perturbation.
@nl
type
label
Gene regulatory networks in plants: learning causality from time and perturbation.
@en
Gene regulatory networks in plants: learning causality from time and perturbation.
@nl
prefLabel
Gene regulatory networks in plants: learning causality from time and perturbation.
@en
Gene regulatory networks in plants: learning causality from time and perturbation.
@nl
P2093
P2860
P356
P1433
P1476
Gene regulatory networks in plants: learning causality from time and perturbation.
@en
P2093
Amy Marshall Colon
Dennis Shasha
Gloria Coruzzi
Jesse Lingeman
P2860
P2888
P356
10.1186/GB-2013-14-6-123
P577
2013-06-27T00:00:00Z
P5875
P6179
1028260089