Empirical evaluation of data normalization methods for molecular classification
Background Data artifacts due to variations in experimental handling are ubiquitous in microarray studies, and they can lead to biased and irreproducible findings. A popular approach to correct for such artifacts is through post hoc data adjustment such as data normalization. Statistical methods for...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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PeerJ Inc.
2018-04-01
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| Series: | PeerJ |
| Subjects: | |
| Online Access: | https://peerj.com/articles/4584.pdf |