about
Multi-tissue coexpression networks reveal unexpected subnetworks associated with diseasemicroRNA-122 as a regulator of mitochondrial metabolic gene network in hepatocellular carcinomaDNA double-strand breaks activate a multi-functional genetic program in developing lymphocytesDistinct pathogenesis and host responses during infection of C. elegans by P. aeruginosa and S. aureusp38 MAPK regulates expression of immune response genes and contributes to longevity in C. elegansCandida albicans infection of Caenorhabditis elegans induces antifungal immune defensesTATA-binding protein variants that bypass the requirement for Mot1 in vivoA systems approach to delineate functions of paralogous transcription factors: role of the Yap family in the DNA damage response.Dosage compensation is less effective in birds than in mammalsTranscriptional profiling of human liver identifies sex-biased genes associated with polygenic dyslipidemia and coronary artery diseaseIdentification of new genes involved in human adipogenesis and fat storageGrowth factor priming differentially modulates components of the extracellular matrix proteome in chondrocytes and synovium-derived stem cellsGene co-regulation by Fezf2 selects neurotransmitter identity and connectivity of corticospinal neuronsGene expression profiling reveals a regulatory role for ROR alpha and ROR gamma in phase I and phase II metabolismRegression of atherosclerosis is characterized by broad changes in the plaque macrophage transcriptomeExpression profiling of a genetic animal model of depression reveals novel molecular pathways underlying depressive-like behavioursMAID : an effect size based model for microarray data integration across laboratories and platforms.Voluntary exercise protects hippocampal neurons from trimethyltin injury: possible role of interleukin-6 to modulate tumor necrosis factor receptor-mediated neurotoxicity.New microbicidal functions of tracheal glands: defective anti-infectious response to Pseudomonas aeruginosa in cystic fibrosis.A comprehensive sensitivity analysis of microarray breast cancer classification under feature variability.Interpretation of ANOVA models for microarray data using PCA.Application of visualization tools to the analysis of histopathological data enhances biological insight and interpretation.Gene expression profiling and pathway analysis data in MCF-7 and MDA-MB-231 human breast cancer cell lines treated with dioscinAccounting for one-channel depletion improves missing value imputation in 2-dye microarray dataGSE: a comprehensive database system for the representation, retrieval, and analysis of microarray dataConverting a breast cancer microarray signature into a high-throughput diagnostic test.A noise model for mass spectrometry based proteomics.Design and analysis of mismatch probes for long oligonucleotide microarraysPTCH1 +/- dermal fibroblasts isolated from healthy skin of Gorlin syndrome patients exhibit features of carcinoma associated fibroblasts.Learning from microarray interlaboratory studies: measures of precision for gene expressionNonparametric variance estimation in the analysis of microarray data: a measurement error approach.Cytokine-dependent and-independent gene expression changes and cell cycle block revealed in Trypanosoma cruzi-infected host cells by comparative mRNA profiling.Reversal of oncogene transformation and suppression of tumor growth by the novel IGF1R kinase inhibitor A-928605.Variance estimation in the analysis of microarray data.Early pregnancy peripheral blood gene expression and risk of preterm delivery: a nested case control study.The transcriptional programme of human heart valves reveals the natural history of infective endocarditis.Impact of missing value imputation on classification for DNA microarray gene expression data--a model-based studyLiver and adipose expression associated SNPs are enriched for association to type 2 diabetesTime course gene expression using laser capture microscopy-extracted bile ducts, but not hepatic parenchyma, reveals acute alpha-naphthylisothiocyanate toxicity.An algebra-based method for inferring gene regulatory networks.
P2860
Q21183892-897ED8E4-E1CD-4E10-8D01-482418AA7DDDQ24595141-527B00D1-EB7B-4580-A09B-5FA453728A2CQ24644085-C83558FE-986C-40C3-9D8C-1BDBA66160F6Q27313965-F01D3222-4A70-4520-B80F-2211EE1028FDQ27315174-6EAAF9DC-A453-40DA-BCEB-0F76A1E93F59Q27349803-5FF34F46-F66B-42F7-8D50-8AFFDF81074BQ27932675-D294A570-9448-4082-8A8D-6AA0514476E6Q27936881-5AA87D67-542D-49B4-B45F-7FADC1FA28C1Q28292598-EFC731DC-909C-4ED0-82E3-E92057581269Q28476544-A2EA7425-95DB-49E2-A853-978A47C3A4F9Q28481269-16F8C9A8-9A31-469C-BCFE-762CB6E88B8AQ28539657-190A2C43-AC29-4427-B064-B6ED4D9223A0Q28591195-90B53C21-8F6D-4B0F-8A31-EF3EC3A7F059Q28594055-E7C52576-5973-4C7A-BDE9-DE3ED8864315Q28727935-AC6A54A0-A567-4A55-9AB1-3F7E1B780572Q28749410-F499A056-96B8-44BB-B1BE-79F6A570E6FDQ30482830-D0A3AAB9-18A2-419A-8994-31545D558D6FQ30502598-05FF345B-6D55-4EFF-B9DD-3D33CC907EA1Q30862375-09DF97C2-8E5D-4ED7-A0BE-15FE99A9D299Q30920662-E9FF24FC-B245-4055-B569-EBB32D7ADDF3Q31077024-D370CB48-DAFE-4D91-A74A-91B0BB62D6A5Q31086776-75A09328-F576-4FE1-8ADC-2BF3F51EDFB3Q31109851-B557454D-48C5-4C9C-897C-FBAEAE3D0608Q31143195-C1D8ED8A-C729-4B9C-B2CB-1D954AC667B1Q31144518-ECA12FE4-5312-4F56-BA57-BA9CACDF77FBQ33262104-8989862B-CAC2-4919-8F69-38194B1E8D33Q33324579-BF007621-BAD9-4115-A74A-F8B7923A35CDQ33377586-2B5C1394-20EC-48BF-8BDD-5F7C17DB48F2Q33418311-C65053C5-0F34-4358-9998-D1F30B793EB1Q33428343-366C19CF-2386-4439-B3DB-8C0C124D614BQ33432843-B1267088-B56E-4D41-8722-211A6ED010B3Q33456231-5163F076-17F5-4E23-89B0-62E09F6AF5D2Q33500359-50691C44-E86F-475A-97F5-AE2437462627Q33502723-FB88696E-09E5-4BFE-A689-BFEAEA930193Q33517898-17DC50BE-1CB3-4FF5-85C1-BF4E15F51AF2Q33529078-DD77D827-0274-4DC7-9134-D6AB79E644C2Q33540143-8D95A6B3-FBEC-471B-A1DC-B2A3C087935BQ33576732-994F61FD-C3C5-4184-8B68-E9AE303BBAC8Q33605601-60DE792F-3121-4064-9A72-CCE9CFBF868AQ33617321-2164F50D-0ECD-4FBA-AAAB-7CAA013A5007
P2860
description
2006 nî lūn-bûn
@nan
2006年の論文
@ja
2006年学术文章
@wuu
2006年学术文章
@zh
2006年学术文章
@zh-cn
2006年学术文章
@zh-hans
2006年学术文章
@zh-my
2006年学术文章
@zh-sg
2006年學術文章
@yue
2006年學術文章
@zh-hant
name
Rosetta error model for gene expression analysis.
@en
Rosetta error model for gene expression analysis.
@nl
type
label
Rosetta error model for gene expression analysis.
@en
Rosetta error model for gene expression analysis.
@nl
prefLabel
Rosetta error model for gene expression analysis.
@en
Rosetta error model for gene expression analysis.
@nl
P2093
P356
P1433
P1476
Rosetta error model for gene expression analysis.
@en
P2093
Douglas E Bassett
Hongyue Dai
Sergey B Stepaniants
Yihui Zhan
P304
P356
10.1093/BIOINFORMATICS/BTL045
P407
P577
2006-03-07T00:00:00Z