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Normalization and analysis of DNA microarray data by self-consistency and local regression

Metadata Updated: July 24, 2025

A robust semi-parametric normalization technique has been developed, based on the assumption that the large majority of genes will not have their relative expression levels changed from one treatment group to the next, and on the assumption that departures of the response from linearity are small and slowly varying. The method was tested using data simulated under various error models and it performs well.

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.

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Dates

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

Metadata Source

Harvested from Healthdata.gov

Additional Metadata

Resource Type Dataset
Metadata Created Date July 24, 2025
Metadata Updated Date July 24, 2025
Publisher National Institutes of Health
Maintainer
NIH
Identifier https://healthdata.gov/api/views/exke-snpu
Data First Published 2025-07-14
Data Last Modified 2025-07-23
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 cdcbc5f1-83ac-4900-9246-40422bf8615a
Harvest Source Id 651e43b2-321c-4e4c-b86a-835cfc342cb0
Harvest Source Title Healthdata.gov
Homepage URL https://healthdata.gov/d/exke-snpu
Program Code 009:033
Source Datajson Identifier True
Source Hash 39db0613f16ce8a975b4a6f295dbdfd0d6311fe101e6196dc371a0edd9cd0aba
Source Schema Version 1.1

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