Cita APA

Cheng, L., Liu, Y., Chang, C., Röst, H., Aebersold, R., & Vitek, O. (2015). Statistical elimination of spectral features with large between-run variation enhances quantitative protein-level conclusions in experiments with data-independent spectral acquisition. BMC Bioinformatics.

Chicago Style Citation

Cheng, Lin-Yang, Yansheng Liu, Ching-Yun Chang, Hannes Röst, Ruedi Aebersold, i Olga Vitek. "Statistical Elimination of Spectral Features With Large Between-run Variation Enhances Quantitative Protein-level Conclusions in Experiments With Data-independent Spectral Acquisition." BMC Bioinformatics 2015.

Cita MLA

Cheng, Lin-Yang, et al. "Statistical Elimination of Spectral Features With Large Between-run Variation Enhances Quantitative Protein-level Conclusions in Experiments With Data-independent Spectral Acquisition." BMC Bioinformatics 2015.