Özenver, N. And Efferth, T. 2023. Identification of Prognostic and Predictive Biomarkers and Druggable Targets among 205 Antioxidant Genes in 21 Different Tumor Types via Data-Mining. Pharmaceutics , vol.15, no.2 .

Özenver, N., & Efferth, T., (2023). Identification of Prognostic and Predictive Biomarkers and Druggable Targets among 205 Antioxidant Genes in 21 Different Tumor Types via Data-Mining. Pharmaceutics , vol.15, no.2.

Özenver, NADİRE, And Thomas Efferth. "Identification of Prognostic and Predictive Biomarkers and Druggable Targets among 205 Antioxidant Genes in 21 Different Tumor Types via Data-Mining," Pharmaceutics , vol.15, no.2, 2023

Özenver, NADİRE And Efferth, Thomas. "Identification of Prognostic and Predictive Biomarkers and Druggable Targets among 205 Antioxidant Genes in 21 Different Tumor Types via Data-Mining." Pharmaceutics , vol.15, no.2, 2023

Özenver, N. And Efferth, T. (2023) . "Identification of Prognostic and Predictive Biomarkers and Druggable Targets among 205 Antioxidant Genes in 21 Different Tumor Types via Data-Mining." Pharmaceutics , vol.15, no.2.

@article{article, author={NADİRE ÖZENVER And author={Thomas Efferth}, title={Identification of Prognostic and Predictive Biomarkers and Druggable Targets among 205 Antioxidant Genes in 21 Different Tumor Types via Data-Mining}, journal={Pharmaceutics}, year=2023}