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robust multi-array average (rma) analysis  (Thermo Fisher)


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    Thermo Fisher robust multi-array average (rma) analysis
    Robust Multi Array Average (Rma) Analysis, 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+(robust+multi-array+analysis)/pmc04918335-210-6-13
    Average 90 stars, based on 1 article reviews
    robust multi-array average (rma) analysis - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    Transformation Assay:

    Article Title: BCL11B depletion induces the development of highly cytotoxic innate T cells out of IL-15 stimulated peripheral blood αβ CD8+ T cells
    Article Snippet: Microarray analysis was performed by ATLAS Biolabs (Germany) using the Affymetrix Human ClariomTM S GeneChip (Applied Biosystems, ThermoFisher Scientific, USA). .. Data were analyzed with the “Signal Space Transformation-regular robust multiple-array average normalization method” (SST-RMA) algorithm by the Transcriptome Analysis Console (TAC) software (v4.0.2.15, ThermoFisher, USA). ..

    Article Title: Artificial intelligence learning landscape of triple-negative breast cancer uncovers new opportunities for enhancing outcomes and immunotherapy responses
    Article Snippet: .. The Robust Multi-array Average (RMA) algorithm was implemented for quantile normalization, background correction, and log2 transformation of microarray data derived from the Affymetrix platform through the R package ‘affy’ [12]. ..

    Software:

    Article Title: BCL11B depletion induces the development of highly cytotoxic innate T cells out of IL-15 stimulated peripheral blood αβ CD8+ T cells
    Article Snippet: Microarray analysis was performed by ATLAS Biolabs (Germany) using the Affymetrix Human ClariomTM S GeneChip (Applied Biosystems, ThermoFisher Scientific, USA). .. Data were analyzed with the “Signal Space Transformation-regular robust multiple-array average normalization method” (SST-RMA) algorithm by the Transcriptome Analysis Console (TAC) software (v4.0.2.15, ThermoFisher, USA). ..

    other:

    Article Title: Comparative analyses reveal potential uses of Brachypodium distachyon as a model for cold stress responses in temperate grasses
    Article Snippet: Probe level normalization was done with Robust Multi-array Analysis (RMA) utilizing the Affymetrix Power Tools (APT) software package ( http://www.affymetrix.com/partners_programs/programs/developer/tools/powertools.affx ; [ ]).

    Article Title: Receptor Interactive Protein Kinase 3 Promotes Cisplatin-Triggered Necrosis in Apoptosis-Resistant Esophageal Squamous Cell Carcinoma Cells
    Article Snippet: The Affymetrix Microarray Suite 5.0 (MAS5) and the Robust Multi-array Average (RMA) algorithm were used for the expression summary and signal calculation of the GeneChip Human Genome U133 2.0 data, respectively .

    Article Title: External validation of prognostic and predictive gene signatures in head and neck cancer patients
    Article Snippet: Within studies, Affymetrix data were quantile-normalized using robust multi-array average (RMA).

    Article Title: Early Gene Expression Analysis in 9L Orthotopic Tumor-Bearing Rats Identifies Immune Modulation in Molecular Response to Synchrotron Microbeam Radiation Therapy
    Article Snippet: Background adjustment and normalization of all raw probe intensity were performed using the Robust Multi-array Average (RMA) algorithm implemented in Affymetrix Expression Console.

    Article Title: Adaptive and Acquired Resistance to EGFR Inhibitors Converge on the MAPK Pathway
    Article Snippet: Affymetrix microarray probe-level data were normalized by Robust Multi-array Average (RMA) procedure.

    Article Title: Functional circuits of LYL1 controlled by supraphysiological androgen in prostate cancer cells to regulate cell senescence.
    Article Snippet: Gene expressions in Affymetrix data are normalized using Robust Multi-array Average (RMA) (Quantile normalization).

    Microarray:

    Article Title: Artificial intelligence learning landscape of triple-negative breast cancer uncovers new opportunities for enhancing outcomes and immunotherapy responses
    Article Snippet: .. The Robust Multi-array Average (RMA) algorithm was implemented for quantile normalization, background correction, and log2 transformation of microarray data derived from the Affymetrix platform through the R package ‘affy’ [12]. ..

    Derivative Assay:

    Article Title: Artificial intelligence learning landscape of triple-negative breast cancer uncovers new opportunities for enhancing outcomes and immunotherapy responses
    Article Snippet: .. The Robust Multi-array Average (RMA) algorithm was implemented for quantile normalization, background correction, and log2 transformation of microarray data derived from the Affymetrix platform through the R package ‘affy’ [12]. ..



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