Synthetic data sets for the identification of key ingredients for RNA-seq differential analysis.

MLA

Rigaill, Guillem, et al. “Synthetic Data Sets for the Identification of Key Ingredients for RNA-Seq Differential Analysis.” Briefings in Bioinformatics, vol. 19, no. 1, Jan. 2018, pp. 65–76. EBSCOhost, https://doi.org/10.1093/bib/bbw092.

APA

Rigaill, G., Balzergue, S., Brunaud, V., Blondet, E., Rau, A., Rogier, O., Caius, J., Maugis-Rabusseau, C., Soubigou-Taconnat, L., Aubourg, S., Lurin, C., Martin-Magniette, M.-L., & Delannoy, E. (2018). Synthetic data sets for the identification of key ingredients for RNA-seq differential analysis. Briefings in Bioinformatics, 19(1), 65–76. https://doi.org/10.1093/bib/bbw092

Chicago

Rigaill, Guillem, Sandrine Balzergue, Véronique Brunaud, Eddy Blondet, Andrea Rau, Odile Rogier, José Caius, et al. 2018. “Synthetic Data Sets for the Identification of Key Ingredients for RNA-Seq Differential Analysis.” Briefings in Bioinformatics 19 (1): 65–76. doi:10.1093/bib/bbw092.