scholarly article | Q13442814 |
P50 | author | Stephen Ficklin | Q30518875 |
P2093 | author name string | Feng Luo | |
F Alex Feltus | |||
P2860 | cites work | Computing topological parameters of biological networks | Q51900389 |
Transcriptional coordination of the metabolic network in Arabidopsis | Q51934868 | ||
Bioconductor: open software development for computational biology and bioinformatics | Q21194861 | ||
WGCNA: an R package for weighted correlation network analysis | Q21284194 | ||
Genevestigator v3: a reference expression database for the meta-analysis of transcriptomes | Q21342839 | ||
Gene ontology: tool for the unification of biology | Q23781406 | ||
Cytoscape: a software environment for integrated models of biomolecular interaction networks | Q24515682 | ||
Identifying biological themes within lists of genes with EASE | Q24630875 | ||
KEGG for linking genomes to life and the environment | Q24650347 | ||
High-throughput functional annotation and data mining with the Blast2GO suite | Q24657550 | ||
Systematic survey reveals general applicability of "guilt-by-association" within gene coexpression networks | Q24817215 | ||
Constructing gene co-expression networks and predicting functions of unknown genes by random matrix theory | Q27496517 | ||
DAVID: Database for Annotation, Visualization, and Integrated Discovery | Q27499374 | ||
Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources | Q27860739 | ||
Network biology: understanding the cell's functional organization | Q27861027 | ||
Exploration, normalization, and summaries of high density oligonucleotide array probe level data | Q27861098 | ||
The InterPro database, an integrated documentation resource for protein families, domains and functional sites | Q28140863 | ||
A gene-coexpression network for global discovery of conserved genetic modules | Q29614451 | ||
KAAS: an automatic genome annotation and pathway reconstruction server | Q29617232 | ||
A general framework for weighted gene co-expression network analysis | Q29617580 | ||
Hierarchical organization of modularity in metabolic networks | Q29618451 | ||
Identification of genes required for cellulose synthesis by regression analysis of public microarray data sets | Q30001001 | ||
Coexpression analysis of human genes across many microarray data sets | Q30936126 | ||
FatiGO +: a functional profiling tool for genomic data. Integration of functional annotation, regulatory motifs and interaction data with microarray experiments | Q31111556 | ||
From single genes to co-expression networks: extracting knowledge from barley functional genomics. | Q33223219 | ||
Articulation of three core metabolic processes in Arabidopsis: fatty acid biosynthesis, leucine catabolism and starch metabolism | Q33350705 | ||
arrayQualityMetrics--a bioconductor package for quality assessment of microarray data | Q33395574 | ||
Snapshot of iron response in Shewanella oneidensis by gene network reconstruction | Q33422156 | ||
Large-scale analysis of Arabidopsis transcription reveals a basal co-regulation network | Q33499876 | ||
STARNET 2: a web-based tool for accelerating discovery of gene regulatory networks using microarray co-expression data | Q33510435 | ||
Arabidopsis gene co-expression network and its functional modules. | Q33511670 | ||
TobEA: an atlas of tobacco gene expression from seed to senescence | Q33534865 | ||
Rational association of genes with traits using a genome-scale gene network for Arabidopsis thaliana | Q33801141 | ||
The TIGR Rice Genome Annotation Resource: improvements and new features | Q35545826 | ||
Approaches for extracting practical information from gene co-expression networks in plant biology | Q36717674 | ||
Function annotation of an SBP-box gene in Arabidopsis based on analysis of co-expression networks and promoters | Q37143165 | ||
ATTED-II provides coexpressed gene networks for Arabidopsis | Q37202743 | ||
Retrotransposons of rice involved in mutations induced by tissue culture | Q37440375 | ||
Identification of cis-regulatory elements in gene co-expression networks using A-GLAM. | Q37452961 | ||
RiceArrayNet: a database for correlating gene expression from transcriptome profiling, and its application to the analysis of coexpressed genes in rice | Q38352242 | ||
CoP: a database for characterizing co-expressed gene modules with biological information in plants | Q38507040 | ||
Assembly of an interactive correlation network for the Arabidopsis genome using a novel heuristic clustering algorithm | Q38508445 | ||
Arabidopsis Co-expression Tool (ACT): web server tools for microarray-based gene expression analysis | Q42552788 | ||
Weighted gene co-expression network analysis identifies biomarkers in glycerol kinase deficient mice. | Q45950951 | ||
Target site specificity of the Tos17 retrotransposon shows a preference for insertion within genes and against insertion in retrotransposon-rich regions of the genome. | Q47717504 | ||
P275 | copyright license | Creative Commons Attribution 4.0 International | Q20007257 |
P6216 | copyright status | copyrighted | Q50423863 |
P433 | issue | 1 | |
P407 | language of work or name | English | Q1860 |
P304 | page(s) | 13-24 | |
P577 | publication date | 2010-07-28 | |
P1433 | published in | Plant Physiology | Q3906288 |
P1476 | title | The association of multiple interacting genes with specific phenotypes in rice using gene coexpression networks | |
P478 | volume | 154 |
Q39383513 | A combination of gene expression ranking and co-expression network analysis increases discovery rate in large-scale mutant screens for novel Arabidopsis thaliana abiotic stress genes. |
Q44747815 | A developmental transcriptional network for maize defines coexpression modules |
Q30656594 | A systems-genetics approach and data mining tool to assist in the discovery of genes underlying complex traits in Oryza sativa |
Q33955431 | An integrated genomic and metabolomic framework for cell wall biology in rice |
Q28710577 | Bioenergy grass feedstock: current options and prospects for trait improvement using emerging genetic, genomic, and systems biology toolkits |
Q38060721 | Co-expression and co-responses: within and beyond transcription |
Q38313147 | Coexpression network analysis associated with call of rice seedlings for encountering heat stress |
Q90145752 | Coexpression network revealing the plasticity and robustness of population transcriptome during the initial stage of domesticating energy crop Miscanthus lutarioriparius |
Q34064362 | Comprehensive network analysis of anther-expressed genes in rice by the combination of 33 laser microdissection and 143 spatiotemporal microarrays |
Q38651544 | Connectivity in gene coexpression networks negatively correlates with rates of molecular evolution in flowering plants. |
Q36832409 | Conserved Non-Coding Sequences are Associated with Rates of mRNA Decay in Arabidopsis |
Q34425196 | Conserved non-coding regulatory signatures in Arabidopsis co-expressed gene modules |
Q31011674 | Construction of citrus gene coexpression networks from microarray data using random matrix theory |
Q35761232 | Deciphering Cis-Regulatory Element Mediated Combinatorial Regulation in Rice under Blast Infected Condition |
Q38619149 | Discovering Condition-Specific Gene Co-Expression Patterns Using Gaussian Mixture Models: A Cancer Case Study. |
Q35186754 | Discovering functional modules across diverse maize transcriptomes using COB, the Co-expression Browser. |
Q43070446 | Finding the undiscovered roles of genes: an approach using mutual ranking of coexpressed genes and promoter architecture-case study: dual roles of thaumatin like proteins in biotic and abiotic stresses. |
Q57721485 | Gene body methylation shows distinct patterns associated with different gene origins and duplication modes and has a heterogeneous relationship with gene expression inOryza sativa(rice) |
Q84179075 | Gene coexpression network alignment and conservation of gene modules between two grass species: maize and rice |
Q31027057 | Gene coexpression network analysis as a source of functional annotation for rice genes |
Q35018812 | Genes and co-expression modules common to drought and bacterial stress responses in Arabidopsis and rice |
Q35546770 | Genetic dissection of the biotic stress response using a genome-scale gene network for rice. |
Q34925790 | Genome-Wide Expression of Transcriptomes and Their Co-Expression Pattern in Subtropical Maize (Zea mays L.) under Waterlogging Stress |
Q36317198 | Genomewide Expression and Functional Interactions of Genes under Drought Stress in Maize. |
Q35900448 | Identification of Crowding Stress Tolerance Co-Expression Networks Involved in Sweet Corn Yield |
Q34290832 | Identification of Gene Modules Associated with Drought Response in Rice by Network-Based Analysis |
Q48290693 | Identification of Key Gene Modules in Human Osteosarcoma by Co-Expression Analysis Weighted Gene Co-Expression Network Analysis (WGCNA). |
Q38810789 | Identification of Key Gene Modules of Neuropathic Pain by Co-Expression Analysis. |
Q35805965 | Identification of Photosynthesis-Associated C4 Candidate Genes through Comparative Leaf Gradient Transcriptome in Multiple Lineages of C3 and C4 Species. |
Q38296544 | Identification of altered metabolic pathways of γ-irradiated rice mutant via network-based transcriptome analysis |
Q55313513 | Identification of key gene modules for human osteosarcoma by co-expression analysis. |
Q40496536 | Inference of Longevity-Related Genes from a Robust Coexpression Network of Seed Maturation Identifies Regulators Linking Seed Storability to Biotic Defense-Related Pathways |
Q38022502 | Inferring gene functions through dissection of relevance networks: interleaving the intra- and inter-species views |
Q27015436 | Learning from Co-expression Networks: Possibilities and Challenges |
Q53145718 | Maize source leaf adaptation to nitrogen deficiency affects not only nitrogen and carbon metabolism but also control of phosphate homeostasis |
Q34586391 | Massive-scale gene co-expression network construction and robustness testing using random matrix theory |
Q34759450 | Maximizing capture of gene co-expression relationships through pre-clustering of input expression samples: an Arabidopsis case study |
Q92653321 | Network-based feature selection reveals substructures of gene modules responding to salt stress in rice |
Q38502841 | PlaNet: combined sequence and expression comparisons across plant networks derived from seven species |
Q38909468 | Potential for Modulation of the Fas Apoptotic Pathway by Epidermal Growth Factor in Sarcomas |
Q30584792 | Reverse engineering: a key component of systems biology to unravel global abiotic stress cross-talk |
Q36240390 | Statistical Approaches for Gene Selection, Hub Gene Identification and Module Interaction in Gene Co-Expression Network Analysis: An Application to Aluminum Stress in Soybean (Glycine max L.). |
Q38687880 | Suppressive effect of microRNA319 expression on rice plant height. |
Q51562699 | The Integrated Phenotype |
Q36943979 | The Rice Oligonucleotide Array Database: an atlas of rice gene expression |
Q38490681 | The identification of candidate radio marker genes using a coexpression network analysis in gamma‐irradiated rice |
Q42290316 | The relationship between selection, network connectivity, and regulatory variation within a population of Capsella grandiora |
Q37978978 | Towards understanding how molecular networks evolve in plants |
Q47804852 | Transcriptome analysis of reproductive-stage Arabidopsis plants exposed gamma-ray irradiation at various doses |
Q26786503 | Transgenic trait deployment using designed nucleases |
Search more.