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,...

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Detalles Bibliográficos
Autores principales: Meng, Qinxue, Catchpoole, Daniel, Skillicorn, David, Kennedy, Paul J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5706403/
https://www.ncbi.nlm.nih.gov/pubmed/29187149
http://dx.doi.org/10.1186/s12859-017-1912-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5706403/
https://www.ncbi.nlm.nih.gov/pubmed/29187149
http://dx.doi.org/10.1186/s12859-017-1912-5

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