Do, A.N.; Magesh, S.; Uzelac, M.; Chen, T.; Li, W.T.; Bouvet, M.; Brumund, K.T.; Wang-Rodriguez, J.; Ongkeko, W.M.
Computational Analysis Suggests That AsnGTT 3′-tRNA-Derived Fragments Are Potential Biomarkers in Papillary Thyroid Carcinoma. Int. J. Mol. Sci. 2024, 25, 10631.
https://doi.org/10.3390/ijms251910631
AMA Style
Do AN, Magesh S, Uzelac M, Chen T, Li WT, Bouvet M, Brumund KT, Wang-Rodriguez J, Ongkeko WM.
Computational Analysis Suggests That AsnGTT 3′-tRNA-Derived Fragments Are Potential Biomarkers in Papillary Thyroid Carcinoma. International Journal of Molecular Sciences. 2024; 25(19):10631.
https://doi.org/10.3390/ijms251910631
Chicago/Turabian Style
Do, Annie N., Shruti Magesh, Matthew Uzelac, Tianyi Chen, Wei Tse Li, Michael Bouvet, Kevin T. Brumund, Jessica Wang-Rodriguez, and Weg M. Ongkeko.
2024. "Computational Analysis Suggests That AsnGTT 3′-tRNA-Derived Fragments Are Potential Biomarkers in Papillary Thyroid Carcinoma" International Journal of Molecular Sciences 25, no. 19: 10631.
https://doi.org/10.3390/ijms251910631
APA Style
Do, A. N., Magesh, S., Uzelac, M., Chen, T., Li, W. T., Bouvet, M., Brumund, K. T., Wang-Rodriguez, J., & Ongkeko, W. M.
(2024). Computational Analysis Suggests That AsnGTT 3′-tRNA-Derived Fragments Are Potential Biomarkers in Papillary Thyroid Carcinoma. International Journal of Molecular Sciences, 25(19), 10631.
https://doi.org/10.3390/ijms251910631