Zhang, F., & Li, Q. (2023). Segmented correspondence curve regression for quantifying covariate effects on the reproducibility of high‐throughput experiments. Biometrics, 79(3), 2272. https://doi.org/10.1111/biom.13757
Chicago Style (17th ed.) CitationZhang, Feipeng, and Qunhua Li. "Segmented Correspondence Curve Regression for Quantifying Covariate Effects on the Reproducibility of High‐throughput Experiments." Biometrics 79, no. 3 (2023): 2272. https://doi.org/10.1111/biom.13757.
MLA (9th ed.) CitationZhang, Feipeng, and Qunhua Li. "Segmented Correspondence Curve Regression for Quantifying Covariate Effects on the Reproducibility of High‐throughput Experiments." Biometrics, vol. 79, no. 3, 2023, p. 2272, https://doi.org/10.1111/biom.13757.