Profound effect of normalization on detection of differentially expressed genes in oligonucleotide microarray data analysis
A number of procedures for normalization and detection of differentially expressed genes have been proposed. Four different normalization methods and all possible combinations with three different statistical algorithms have been used for detection of differentially expressed genes on a dataset. The number of genes detected as differentially expressed differs by a factor of about three.
Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[
"009:25"
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{
"fn": "NIH",
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|
| description | A number of procedures for normalization and detection of differentially expressed genes have been proposed. Four different normalization methods and all possible combinations with three different statistical algorithms have been used for detection of differentially expressed genes on a dataset. The number of genes detected as differentially expressed differs by a factor of about three. |
| distribution |
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"title": "Official Government Data Source",
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"downloadURL": "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC126238/"
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|
| identifier | https://healthdata.gov/api/views/her4-nexh |
| issued | 2025-07-14 |
| keyword |
[
"differential-expression",
"gene-expression",
"microarray-data",
"nih",
"normalization-methods"
]
|
| landingPage | https://healthdata.gov/d/her4-nexh |
| modified | 2025-09-06 |
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| publisher |
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|
| theme |
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|
| title | Profound effect of normalization on detection of differentially expressed genes in oligonucleotide microarray data analysis |
