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Detecting hidden batch factors through data-adaptive adjustment for biological effects
MOTIVATION: Batch effects are one of the major source of technical variations that affect the measurements in high-throughput studies such as RNA sequencing. It has been well established that batch effects can be caused by different experimental platforms, laboratory conditions, different sources of...
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| Veröffentlicht in: | Bioinformatics |
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| Hauptverfasser: | , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Oxford University Press
2018
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6454417/ https://ncbi.nlm.nih.gov/pubmed/29617963 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btx635 |
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