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Comprehensive evaluation of differential gene expression analysis methods for RNA-seq data
A large number of computational methods have been developed for analyzing differential gene expression in RNA-seq data. We describe a comprehensive evaluation of common methods using the SEQC benchmark dataset and ENCODE data. We consider a number of key features, including normalization, accuracy o...
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| Hauptverfasser: | , , , , , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
BioMed Central
2013
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4054597/ https://ncbi.nlm.nih.gov/pubmed/24020486 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/gb-2013-14-9-r95 |
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