Panthong, W.; Pientong, C.; Nukpook, T.; Roytrakul, S.; Yingchutrakul, Y.; Teeramatwanich, W.; Aromseree, S.; Ekalaksananan, T.
Integrated Proteomics and Machine Learning Approach Reveals PYCR1 as a Novel Biomarker to Predict Prognosis of Sinonasal Squamous Cell Carcinoma. Int. J. Mol. Sci. 2024, 25, 13234.
https://doi.org/10.3390/ijms252413234
AMA Style
Panthong W, Pientong C, Nukpook T, Roytrakul S, Yingchutrakul Y, Teeramatwanich W, Aromseree S, Ekalaksananan T.
Integrated Proteomics and Machine Learning Approach Reveals PYCR1 as a Novel Biomarker to Predict Prognosis of Sinonasal Squamous Cell Carcinoma. International Journal of Molecular Sciences. 2024; 25(24):13234.
https://doi.org/10.3390/ijms252413234
Chicago/Turabian Style
Panthong, Watcharapong, Chamsai Pientong, Thawaree Nukpook, Sittiruk Roytrakul, Yodying Yingchutrakul, Watchareporn Teeramatwanich, Sirinart Aromseree, and Tipaya Ekalaksananan.
2024. "Integrated Proteomics and Machine Learning Approach Reveals PYCR1 as a Novel Biomarker to Predict Prognosis of Sinonasal Squamous Cell Carcinoma" International Journal of Molecular Sciences 25, no. 24: 13234.
https://doi.org/10.3390/ijms252413234
APA Style
Panthong, W., Pientong, C., Nukpook, T., Roytrakul, S., Yingchutrakul, Y., Teeramatwanich, W., Aromseree, S., & Ekalaksananan, T.
(2024). Integrated Proteomics and Machine Learning Approach Reveals PYCR1 as a Novel Biomarker to Predict Prognosis of Sinonasal Squamous Cell Carcinoma. International Journal of Molecular Sciences, 25(24), 13234.
https://doi.org/10.3390/ijms252413234