APA (7th ed.) Citation

Aguilera, L. U., Zimmer, C., & Kummer, U. (2017). A new efficient approach to fit stochastic models on the basis of high-throughput experimental data using a model of IRF7 gene expression as case study. BioMed Central. https://doi.org/10.1186/s12918-017-0406-4

Chicago Style (17th ed.) Citation

Aguilera, Luis U., Christoph Zimmer, and Ursula Kummer. A New Efficient Approach to Fit Stochastic Models on the Basis of High-throughput Experimental Data Using a Model of IRF7 Gene Expression as Case Study. London: BioMed Central, 2017. https://doi.org/10.1186/s12918-017-0406-4.

MLA (9th ed.) Citation

Aguilera, Luis U., et al. A New Efficient Approach to Fit Stochastic Models on the Basis of High-throughput Experimental Data Using a Model of IRF7 Gene Expression as Case Study. BioMed Central, 2017. https://doi.org/10.1186/s12918-017-0406-4.