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robust multiarray average (rma) algorithms  (Thermo Fisher)


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    Thermo Fisher robust multiarray average (rma) algorithms
    Robust Multiarray Average (Rma) Algorithms, supplied by Thermo Fisher, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/rma+algorithm/pmc11409185-93-4-0
    Average 90 stars, based on 1 article reviews
    robust multiarray average (rma) algorithms - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    other:

    Article Title: DOT1L suppresses nuclear RNAi originating from enhancer elements in Caenorhabditis elegans
    Article Snippet: Raw Affymetrix CEL files were normalized to produce gene-level expression values using the Robust Multiarray Average (RMA) ( ) in Affymetrix Expression Console (version 1.4.1.46).

    Article Title: Neutrophil extracellular trap genes predict immunotherapy response in gastric cancer
    Article Snippet: Affymetrix Expression Console and robust multiarray average (RMA) algorithms were applied to filter out unwanted noise by data normalization and background correction.

    Article Title: Oxidative Stress, Glutathione Metabolism, and Liver Regeneration Pathways Are Activated in Hereditary Tyrosinemia Type 1 Mice upon Short-Term Nitisinone Discontinuation
    Article Snippet: Background correction, summarization (median polish) and normalization (quantile) were done with Robust Multiarray Analysis (all from Affymetrix, Merelbeke, Belgium).

    Microarray:

    Article Title: Ternary Complex Components Responsible for Rapid LDL Internalization as Biomarkers for Breast Cancer Associated with Proliferation and Early Recurrence
    Article Snippet: .. Affymetrix microarray data for which .CEL files were available were renormalized using robust multiarray average ( ). ..

    Expressing:

    Article Title: Human forebrain endothelial cell therapy for psychiatric disorders
    Article Snippet: Microarray hybridization was performed using the Human Gene Array 2.0 ST gene chip (Affymetrix) at the Boston University Microarray and Sequencing Resource Core, Boston, MA. .. Principal component analysis (PCA) was performed after normalizing gene-level expression values from CEL files of Affymetrix human gene 2.0 ST arrays by using the implementation of the Robust Multiarray Average in the Affymetrix transcriptome analysis console (TAC) (v4.0.1, Applied Biosystem, Foster City, CA, USA). ..

    Article Title: The effect of medium supplementation and serial passaging on the transcriptome of human adipose-derived stromal cells expanded in vitro
    Article Snippet: The output Affymetrix CEL files, which have intensity values for all probes present on the scanned arrays, were used for further analysis. .. The Robust Multiarray Analysis algorithm [ ] in the Affymetrix Expression ConsoleTM was used to perform background correction, summarization, normalization, and the calculation of probe set expression values. .. Finally, the Affymetrix Transcription Analysis ConsoleTM was used to calculate the fold change of each probe set or transcript cluster identifier number and mapped to the corresponding gene.

    Article Title: TFEBexplorer: An integrated tool to study genes regulated by the stress-responsive Transcription Factor EB
    Article Snippet: 20 μg of biotinylated cRNA was fragmented and 10 μg hybridized to the Affymetrix Human Genome U133 Plus 2.0 Array [HG-U133_Plus_2] as described in [53]. .. Low-level analysis to convert probe level data to gene level expression data was done using robust multiarray average (RMA) implemented using the RMA function of the Affymetrix package of the Bioconductor project [54] in the R programming language [55]. ..

    Article Title: Human forebrain endothelial cell therapy for psychiatric disorders.
    Article Snippet: Microarray hybridization was performed using the Human Gene Array 2.0 ST gene chip (Affymetrix) at the Boston University Microarray and Sequencing Resource Core, Boston, MA. .. Principal component analysis (PCA) was performed after normalizing gene-level expression values from CEL files of Affymetrix human gene 2.0 ST arrays by using the implementation of the Robust Multiarray Average in the Affymetrix transcriptome analysis console (TAC) (v4.0.1, Applied Biosystem, Foster City, CA, USA). ..



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