DBNorm: normalizing high-density oligonucleotide microarray data based on distributions

Abstract 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...

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Bibliographic Details
Main Authors: Qinxue Meng, Daniel Catchpoole, David Skillicorn, Paul J. Kennedy
Format: Article
Language:English
Published: BMC 2017-11-01
Series:BMC Bioinformatics
Subjects:
R
Online Access:http://link.springer.com/article/10.1186/s12859-017-1912-5