Synthetic data sets for the identification of key ingredients for RNA-seq differential analysis
Synthetic data sets for the identification of key ingredients for RNA-seq differential analysis
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Publisher
England: Oxford University Press
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Language
English
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Publisher
England: Oxford University Press
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Abstract
Numerous statistical pipelines are now available for the differential analysis of gene expression measured with RNA-sequencing technology. Most of them are based on similar statistical frameworks after normalization, differing primarily in the choice of data distribution, mean and variance estimation strategy and data filtering. We prop...
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Full title
Synthetic data sets for the identification of key ingredients for RNA-seq differential analysis
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Record Identifier
TN_cdi_hal_primary_oai_HAL_hal_01595551v1
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_hal_primary_oai_HAL_hal_01595551v1
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ISSN
1467-5463
E-ISSN
1477-4054
DOI
10.1093/bib/bbw092
