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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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Main Authors: | , , , , , , , , |
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格式: | Artigo |
語言: | Inglês |
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BioMed Central
2013
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主題: | |
在線閱讀: | 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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