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DBNorm: normalizing high-density oligonucleotide microarray data based on distributions
BACKGROUND: Data from patients with rare diseases is often produced using different platforms and probe sets because patients are widely distributed in space and time. Aggregating such data requires a method of normalization that makes patient records comparable. RESULTS: This paper proposed DBNorm,...
Tallennettuna:
| Julkaisussa: | BMC Bioinformatics |
|---|---|
| Päätekijät: | , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
BioMed Central
2017
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5706403/ https://ncbi.nlm.nih.gov/pubmed/29187149 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-017-1912-5 |
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