Qazi, S.; Richardson, S.; Potts, M.; Myers, S.; Trieu, V.
Bioinformatic Approach to Identify Positive Prognostic TGFB2-Dependent and Negative Prognostic TGFB2-Independent Biomarkers for Breast Cancers. Int. J. Mol. Sci. 2025, 26, 11580.
https://doi.org/10.3390/ijms262311580
AMA Style
Qazi S, Richardson S, Potts M, Myers S, Trieu V.
Bioinformatic Approach to Identify Positive Prognostic TGFB2-Dependent and Negative Prognostic TGFB2-Independent Biomarkers for Breast Cancers. International Journal of Molecular Sciences. 2025; 26(23):11580.
https://doi.org/10.3390/ijms262311580
Chicago/Turabian Style
Qazi, Sanjive, Stephen Richardson, Mike Potts, Scott Myers, and Vuong Trieu.
2025. "Bioinformatic Approach to Identify Positive Prognostic TGFB2-Dependent and Negative Prognostic TGFB2-Independent Biomarkers for Breast Cancers" International Journal of Molecular Sciences 26, no. 23: 11580.
https://doi.org/10.3390/ijms262311580
APA Style
Qazi, S., Richardson, S., Potts, M., Myers, S., & Trieu, V.
(2025). Bioinformatic Approach to Identify Positive Prognostic TGFB2-Dependent and Negative Prognostic TGFB2-Independent Biomarkers for Breast Cancers. International Journal of Molecular Sciences, 26(23), 11580.
https://doi.org/10.3390/ijms262311580