Gene coexpression network analysis as a source of functional annotation for rice genes
about
Learning from Co-expression Networks: Possibilities and ChallengesAnalysis of time-resolved gene expression measurements across individualsA genome scale metabolic network for rice and accompanying analysis of tryptophan, auxin and serotonin biosynthesis regulation under biotic stressHard Data Analytics Problems Make for Better Data Analysis Algorithms: Bioinformatics as an ExampleConstruction of citrus gene coexpression networks from microarray data using random matrix theory.Co-expression network-based analysis of hippocampal expression data associated with Alzheimer's disease using a novel algorithm.Utility and Limitations of Using Gene Expression Data to Identify Functional AssociationsThe transcriptional network of WRKY53 in cereals links oxidative responses to biotic and abiotic stress inputsPathway-related modules involved in the application of sevoflurane or propofol in off-pump coronary artery bypass graft surgery.Gene co-expression network analysis in Rhodobacter capsulatus and application to comparative expression analysis of Rhodobacter sphaeroides.mRNA-Seq analysis of the Pseudoperonospora cubensis transcriptome during cucumber (Cucumis sativus L.) infection.Conserved non-coding regulatory signatures in Arabidopsis co-expressed gene modules.Pathway correlation profile of gene-gene co-expression for identifying pathway perturbation.Genetic architecture of gene expression in the chickenIncorporating motif analysis into gene co-expression networks reveals novel modular expression pattern and new signaling pathways.Genes and co-expression modules common to drought and bacterial stress responses in Arabidopsis and riceModulation of epidermal transcription circuits in psoriasis: new links between inflammation and hyperproliferation.Genome-wide tissue-specific gene expression, co-expression and regulation of co-expressed genes in adult nematode Ascaris suum.The mature anther-preferentially expressed genes are associated with pollen fertility, pollen germination and anther dehiscence in rice.Rat hepatocytes weighted gene co-expression network analysis identifies specific modules and hub genes related to liver regeneration after partial hepatectomyA predictor for predicting Escherichia coli transcriptome and the effects of gene perturbations.Annotation of gene function in citrus using gene expression information and co-expression networks.Large-scale gene co-expression network as a source of functional annotation for cattle genesThe Long Noncoding RNA Transcriptome of Dictyostelium discoideum Development.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.).Genomewide Expression and Functional Interactions of Genes under Drought Stress in Maize.Genome-Wide Analysis Indicates Lineage-Specific Gene Loss during Papilionoideae EvolutionPan- and core- network analysis of co-expression genes in a model plant.Co-expression and co-responses: within and beyond transcription.Joint genetic and network analyses identify loci associated with root growth under NaCl stress in Arabidopsis thaliana.Evidence for selection on gene expression in cultivated rice (Oryza sativa).GeNET: a web application to explore and share Gene Co-expression Network Analysis data.From Saccharomyces cerevisiae to human: The important gene co-expression modules.Maize network analysis revealed gene modules involved in development, nutrients utilization, metabolism, and stress response.Gene expression atlas of pigeonpea and its application to gain insights into genes associated with pollen fertility implicated in seed formationFunctional networks inference from rule-based machine learning models.Catalyzing plant science research with RNA-seq.Functional characterization of drought-responsive modules and genes in Oryza sativa: a network-based approachChilling Affects Phytohormone and Post-Embryonic Development Pathways during Bud Break and Fruit Set in Apple (Malus domestica Borkh.).The relationship between selection, network connectivity, and regulatory variation within a population of Capsella grandiora.
P2860
Q27015436-21729D62-8B51-4FCA-BA4D-EDFE6401909FQ28536632-CD56F27F-3D2D-47A1-8A43-9B6C65FCBF5DQ28833187-079FF822-2FB1-4BB8-BDCD-D38CBB8DDD01Q30367374-149F79DD-4366-4562-A1E5-8525DC9335E0Q31011674-86D21F69-ED75-4B65-9E04-B32C84E53182Q31095417-C4188E21-B06F-4F53-A63B-4A19EF005A94Q31147883-03C5625B-23DF-4E6D-812C-BE0BE9600BA6Q33764510-EC833B16-B1FA-44FD-8047-84F46A35270AQ33846859-36799D5E-FCCB-4B12-A336-5B0FAD80B916Q34151046-B7CA6EC2-CABE-4369-8BD8-A4269D0C73AEQ34251233-49CF0903-67AF-4130-B1E1-0202E39A04FEQ34425196-D1375E5C-AAD0-4F58-800C-FA739F6A90FDQ34533071-C2B6E033-5F10-4F8E-AED0-12B8D5D686B8Q34549759-C0B53E5D-6711-421D-8ADB-9F42283F2D9DQ35008864-DDC42632-AB8C-469E-A154-FCCF40DD5C7BQ35018812-0382FFB1-D355-417D-B9F1-065049283C7EQ35048276-33AF3A36-35F9-4BAC-8B39-901FBDB2E980Q35091848-E3339B24-12BB-4C8B-8E46-B27E8B0892AFQ35122099-7CBDA02F-F325-4EC4-9EBD-4AEFA5AD7FFDQ35151921-D63497DD-F160-492A-98AD-F72E2A42CA48Q35177520-D80DBAE6-0A87-4DA8-BFBA-5BCB3F2D10EAQ35206810-CB4E7B7F-1FF3-4F75-8E4D-7331E49CE4EFQ36180621-6D5849E6-0DEE-4981-8574-6CD1975FB2BAQ36216749-3CF00CD1-7944-471D-BBBE-A18EDC1697A6Q36240390-338FC5D3-B4CF-4A95-972D-3BAF8EF54E87Q36317198-6380BFE4-1CE8-411C-8B55-55F4EEF11778Q36775971-C0CF66A4-D06C-4D3C-9B26-FCD4BF8C9E18Q37508331-D7E59A06-22C4-4336-ABD6-37EF165CE5ACQ38060721-447AB3AA-E790-4E1A-92B2-966198A1F71AQ38453662-A072EAFA-2497-4810-8B11-7BC41865C84FQ38478540-1C1CB6E3-FB5B-4B15-B756-875A4E22884DQ38614938-9DEF6EBA-B36A-445F-841A-1D00CBC6EB48Q38626567-04F80CEE-B757-42EB-BE30-8C47DA42DAEDQ38648542-902AE31E-B91B-4B5E-A1A6-0713C93DF0EEQ38879634-6BA736DA-C3FF-4E8D-B589-D2311B25D42CQ39420364-8FEB60DB-77D8-4232-8686-3E182589031AQ39455397-C985DDB4-6613-4A39-A7B0-5E0799FFF579Q39468520-02AC8A8A-2E62-4A16-B822-FFAE7726EF54Q42261980-91EE78E4-FC65-4399-9819-3EBB3A5F7E4FQ42290316-0CDD8031-3A2C-44E1-83EE-D1413FFDC9BA
P2860
Gene coexpression network analysis as a source of functional annotation for rice genes
description
2011 nî lūn-bûn
@nan
2011 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
name
Gene coexpression network analysis as a source of functional annotation for rice genes
@ast
Gene coexpression network analysis as a source of functional annotation for rice genes
@en
type
label
Gene coexpression network analysis as a source of functional annotation for rice genes
@ast
Gene coexpression network analysis as a source of functional annotation for rice genes
@en
prefLabel
Gene coexpression network analysis as a source of functional annotation for rice genes
@ast
Gene coexpression network analysis as a source of functional annotation for rice genes
@en
P2860
P1433
P1476
Gene coexpression network analysis as a source of functional annotation for rice genes
@en
P2093
C Robin Buell
Rebecca M Davidson
P2860
P304
P356
10.1371/JOURNAL.PONE.0022196
P407
P577
2011-07-22T00:00:00Z