APA (7th ed.) Citation

Chakraborty, S. (2019). Use of Partial Least Squares improves the efficacy of removing unwanted variability in differential expression analyses based on RNA-Seq data. Genomics (San Diego, Calif.), 111(4), 893-898. https://doi.org/10.1016/j.ygeno.2018.05.018

Chicago Style (17th ed.) Citation

Chakraborty, Sutirtha. "Use of Partial Least Squares Improves the Efficacy of Removing Unwanted Variability in Differential Expression Analyses Based on RNA-Seq Data." Genomics (San Diego, Calif.) 111, no. 4 (2019): 893-898. https://doi.org/10.1016/j.ygeno.2018.05.018.

MLA (9th ed.) Citation

Chakraborty, Sutirtha. "Use of Partial Least Squares Improves the Efficacy of Removing Unwanted Variability in Differential Expression Analyses Based on RNA-Seq Data." Genomics (San Diego, Calif.), vol. 111, no. 4, 2019, pp. 893-898, https://doi.org/10.1016/j.ygeno.2018.05.018.