APA (7th ed.) Citation

Klaproth-Andrade, D., Hingerl, J., Bruns, Y., Smith, N. H., Träuble, J., Wilhelm, M., & Gagneur, J. (2024, January). Deep learning-driven fragment ion series classification enables highly precise and sensitive de novo peptide sequencing. Nature Communications.

Chicago Style (17th ed.) Citation

Klaproth-Andrade, Daniela, Johannes Hingerl, Yanik Bruns, Nicholas H. Smith, Jakob Träuble, Mathias Wilhelm, and Julien Gagneur. "Deep Learning-driven Fragment Ion Series Classification Enables Highly Precise and Sensitive De Novo Peptide Sequencing." Nature Communications Jan. 2024.

MLA (9th ed.) Citation

Klaproth-Andrade, Daniela, et al. "Deep Learning-driven Fragment Ion Series Classification Enables Highly Precise and Sensitive De Novo Peptide Sequencing." Nature Communications, Jan. 2024.