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...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2017-11-01
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Series: | BMC Bioinformatics |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12859-017-1912-5 |