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    • A new non-linear normalization method for reducing variability in DNA microarray experiments

    Metadata Updated: September 7, 2025

    A simple and robust non-linear method is presented for normalization using array signal distribution analysis and cubic splines. Both the regression and spline-based methods described performed better than existing linear methods when assessed on the variability of replicate arrays

    Access & Use Information

    Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

    Downloads & Resources

    Dates

    Metadata Created Date July 24, 2025
    Metadata Updated Date September 7, 2025

    Metadata Source

    Harvested from Healthdata.gov

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date July 24, 2025
    Metadata Updated Date September 7, 2025
    Publisher National Institutes of Health
    Maintainer
    NIH
    Identifier https://healthdata.gov/api/views/qasd-zvnh
    Data First Published 2025-07-14
    Data Last Modified 2025-09-06
    Category NIH
    Public Access Level public
    Bureau Code 009:25
    Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
    Metadata Catalog ID https://healthdata.gov/data.json
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
    Harvest Object Id 00f00e40-49d4-400f-9531-0172c899f6fb
    Harvest Source Id 651e43b2-321c-4e4c-b86a-835cfc342cb0
    Harvest Source Title Healthdata.gov
    Homepage URL https://healthdata.gov/d/qasd-zvnh
    Program Code 009:033
    Source Datajson Identifier True
    Source Hash 81ddd26071f5a75a2d87cc4dcf6ace049ee3cdaf886ea508f3d0d84ecf8775a6
    Source Schema Version 1.1

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