Synthetic data sets for the identification of key ingredients for RNA-seq differential analysis
Abstract
Synthetic data sets for the identification of key ingredients for RNA-seq differential analysis
Journal Articles
Briefings in Bioinformatics
Year : 2016
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https://hal.science/hal-01595551
Submitted on : Tuesday, September 26, 2017-10:35:05 PM
Last modification on : Wednesday, April 19, 2023-11:42:08 AM
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Identifiers
- HAL Id : hal-01595551 , version 1
- DOI : 10.1093/bib/bbw092
- PRODINRA : 377567
- PUBMED : 27742662
- WOS : 000423311000006
Cite
Guillem Rigaill, Sandrine Balzergue, Véronique Brunaud, Eddy Blondet, Andrea Rau, et al.. Synthetic data sets for the identification of key ingredients for RNA-seq differential analysis. Briefings in Bioinformatics, 2016, 19 (1), pp.65-76. ⟨10.1093/bib/bbw092⟩. ⟨hal-01595551⟩
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