A new non-linear normalization method for reducing variability in DNA microarray experiments
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
Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[
"009:25"
]
|
| contactPoint |
{
"fn": "NIH",
"@type": "vcard:Contact",
"hasEmail": "mailto:info@nih.gov"
}
|
| description | 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 |
| distribution |
[
{
"@type": "dcat:Distribution",
"title": "Official Government Data Source",
"mediaType": "text/html",
"description": "Visit the original government dataset for complete information, documentation, and data access.",
"downloadURL": "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC126873/"
}
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|
| identifier | https://healthdata.gov/api/views/qasd-zvnh |
| issued | 2025-07-14 |
| keyword |
[
"cubic-splines",
"data-normalization",
"dna-microarray",
"nih",
"variability-reduction"
]
|
| landingPage | https://healthdata.gov/d/qasd-zvnh |
| modified | 2025-09-06 |
| programCode |
[
"009:033"
]
|
| publisher |
{
"name": "National Institutes of Health",
"@type": "org:Organization"
}
|
| theme |
[
"NIH"
]
|
| title | A new non-linear normalization method for reducing variability in DNA microarray experiments |
