TURANLI, B. Et Al. 2024. Genome-scale metabolic models in translational medicine: the current status and potential of machine learning in improving the effectiveness of the models. Molecular Omics , vol.20, no.4 , 234-247.

TURANLI, B., Gulfidan, G., Aydogan, O. O., KULA, C., Selvaraj, G., & ARGA, K. Y., (2024). Genome-scale metabolic models in translational medicine: the current status and potential of machine learning in improving the effectiveness of the models. Molecular Omics , vol.20, no.4, 234-247.

TURANLI, BESTE Et Al. "Genome-scale metabolic models in translational medicine: the current status and potential of machine learning in improving the effectiveness of the models," Molecular Omics , vol.20, no.4, 234-247, 2024

TURANLI, BESTE Et Al. "Genome-scale metabolic models in translational medicine: the current status and potential of machine learning in improving the effectiveness of the models." Molecular Omics , vol.20, no.4, pp.234-247, 2024

TURANLI, B. Et Al. (2024) . "Genome-scale metabolic models in translational medicine: the current status and potential of machine learning in improving the effectiveness of the models." Molecular Omics , vol.20, no.4, pp.234-247.

@article{article, author={BESTE TURANLI Et Al. }, title={Genome-scale metabolic models in translational medicine: the current status and potential of machine learning in improving the effectiveness of the models}, journal={Molecular Omics}, year=2024, pages={234-247} }