ArticleNucleic acids research2009
Internal standard-based analysis of microarray data. Part 1: analysis of differential gene expressions.
Article in Nucleic acids research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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Who cites it
33 citing papers in PubMed.
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- Serum IgG Profiling of Toddlers Reveals a Subgroup with Elevated Seropositive Antibodies to Viruses Correlating with Increased Vaccine and Autoantigen Responses.Journal of clinical immunology · 2021Article
- IRF1 governs the differential interferon-stimulated gene responses in human monocytes and macrophages by regulating chromatin accessibility.Cell reports · 2021Article
- Deep sequencing reveals a DAP1 regulatory haplotype that potentiates autoimmunity in systemic lupus erythematosus.Genome biology · 2020Article
- Transcriptional profiling identifies caspase-1 as a T cell-intrinsic regulator of Th17 differentiation.The Journal of experimental medicine · 2020Article
- sncRNA-1 Is a Small Noncoding RNA Produced byFrontiers in microbiology · 2020Article
- Induction of memory-like dendritic cell responses in vivo.Nature communications · 2019Article
- IFN-γ immune priming of macrophages in vivo induces prolonged STAT1 binding and protection against Cryptococcus neoformans.PLoS pathogens · 2018Article
- RAD51 interconnects between DNA replication, DNA repair and immunity.Nucleic acids research · 2017Article
- Distinct patterns of innate immune activation by clinical isolates of respiratory syncytial virus.PloS one · 2017Article
- Fasting selectively blocks development of acute lymphoblastic leukemia via leptin-receptor upregulation.Nature medicine · 2017Article
- TSPAN8 Expression Distinguishes Spermatogonial Stem Cells in the Prepubertal Mouse Testis.Biology of reproduction · 2016Article
- MicroRNA-205 Maintains T Cell Development following Stress by Regulating Forkhead Box N1 and Selected Chemokines.The Journal of biological chemistry · 2016Article
- DNA polymerase-α regulates the activation of type I interferons through cytosolic RNA:DNA synthesis.Nature immunology · 2016Article
- Regulatory polymorphisms modulate the expression of HLA class II molecules and promote autoimmunity.eLife · 2016Article
- Differential outcome of TRIF-mediated signaling in TLR4 and TLR3 induced DC maturation.Proceedings of the National Academy of Sciences of the United States of America · 2015Article
- RNA Seq profiling reveals a novel expression pattern of TGF-β target genes in human blood eosinophils.Immunology letters · 2015Article
- Ribosomal and immune transcripts associate with relapse in acquired ADAMTS13-deficient thrombotic thrombocytopenic purpura.PloS one · 2015Article
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2 authors.
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Abstract
Genome-scale microarray experiments for comparative analysis of gene expressions produce massive amounts of information. Traditional statistical approaches fail to achieve the required accuracy in sensitivity and specificity of the analysis. Since the problem can be resolved neither by increasing the number of replicates nor by manipulating thresholds, one needs a novel approach to the analysis. This article describes methods to improve the power of microarray analyses by defining internal standards to characterize features of the biological system being studied and the technological processes underlying the microarray experiments. Applying these methods, internal standards are identified and then the obtained parameters are used to define (i) genes that are distinct in their expression from background; (ii) genes that are differentially expressed; and finally (iii) genes that have similar dynamical behavior.
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