Learning from Co-expression Networks: Possibilities and Challenges
about
Revealing complex function, process and pathway interactions with high-throughput expression and biological annotation data.Identifying gene coexpression networks underlying the dynamic regulation of wood-forming tissues in Populus under diverse environmental conditions.COMAN: a web server for comprehensive metatranscriptomics analysisplantiSMASH: automated identification, annotation and expression analysis of plant biosynthetic gene clustersComputational genomic identification and functional reconstitution of plant natural product biosynthetic pathways.A Meta-Analysis Based Method for Prioritizing Candidate Genes Involved in a Pre-specific Function.Construction and Optimization of a Large Gene Coexpression Network in Maize Using RNA-Seq Data.Expression atlas and comparative coexpression network analyses reveal important genes involved in the formation of lignified cell wall in Brachypodium distachyon.A Machine Learning Approach to Predict Gene Regulatory Networks in Seed Development in Arabidopsis.Emerging Roles and Landscape of Translating mRNAs in Plants.Highly-interwoven communities of a gene regulatory network unveil topologically important genes for maize seed development.Metabolomic analysis of tomato seed germination.Tree rings provide a new class of phenotypes for genetic associations that foster insights into adaptation of conifers to climate change.Comparative transcriptomics of hepatic differentiation of human pluripotent stem cells and adult human liver tissue.High-resolution spatiotemporal transcriptome mapping of tomato fruit development and ripening.Unsupervised, statistically-based systems biology approach for unraveling the genetics of complex traits: A demonstration with ethanol metabolism.An integrated approach to infer cross-talks between intracellular protein transport and signaling pathways.MorphDB: Prioritizing Genes for Specialized Metabolism Pathways and Gene Ontology Categories in Plants.Long non-coding RNA Gm2199 rescues liver injury and promotes hepatocyte proliferation through the upregulation of ERK1/2.Delineation of condition specific Cis- and Trans-acting elements in plant promoters under various Endo- and exogenous stimuli.GEsture: an online hand-drawing tool for gene expression pattern search.Functional enrichment analysis based on long noncoding RNA associations.Transcriptome Network Analysis Reveals Aging-Related Mitochondrial and Proteasomal Dysfunction and Immune Activation in Human Thyroid.The decoration of specialized metabolites influences stylar developmentGene Coexpression Network Comparison via Persistent HomologyTranscriptomics and co-expression networks reveal tissue-specific responses and regulatory hubs under mild and severe drought in papaya (Carica papaya L.)
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P2860
Learning from Co-expression Networks: Possibilities and Challenges
description
2016 nî lūn-bûn
@nan
2016 թուականին հրատարակուած գիտական յօդուած
@hyw
2016 թվականին հրատարակված գիտական հոդված
@hy
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
name
Learning from Co-expression Networks: Possibilities and Challenges
@ast
Learning from Co-expression Networks: Possibilities and Challenges
@en
Learning from Co-expression Networks: Possibilities and Challenges
@nl
type
label
Learning from Co-expression Networks: Possibilities and Challenges
@ast
Learning from Co-expression Networks: Possibilities and Challenges
@en
Learning from Co-expression Networks: Possibilities and Challenges
@nl
prefLabel
Learning from Co-expression Networks: Possibilities and Challenges
@ast
Learning from Co-expression Networks: Possibilities and Challenges
@en
Learning from Co-expression Networks: Possibilities and Challenges
@nl
P2860
P50
P3181
P356
P1476
Learning from Co-expression Networks: Possibilities and Challenges
@en
P2093
Elise A R Serin
P2860
P3181
P356
10.3389/FPLS.2016.00444
P407
P577
2016-04-08T00:00:00Z