Elsherbini, A.M.; Alsamman, A.M.; Elsherbiny, N.M.; El-Sherbiny, M.; Ahmed, R.; Ebrahim, H.A.; Bakkach, J.
Decoding Diabetes Biomarkers and Related Molecular Mechanisms by Using Machine Learning, Text Mining, and Gene Expression Analysis. Int. J. Environ. Res. Public Health 2022, 19, 13890.
https://doi.org/10.3390/ijerph192113890
AMA Style
Elsherbini AM, Alsamman AM, Elsherbiny NM, El-Sherbiny M, Ahmed R, Ebrahim HA, Bakkach J.
Decoding Diabetes Biomarkers and Related Molecular Mechanisms by Using Machine Learning, Text Mining, and Gene Expression Analysis. International Journal of Environmental Research and Public Health. 2022; 19(21):13890.
https://doi.org/10.3390/ijerph192113890
Chicago/Turabian Style
Elsherbini, Amira M., Alsamman M. Alsamman, Nehal M. Elsherbiny, Mohamed El-Sherbiny, Rehab Ahmed, Hasnaa Ali Ebrahim, and Joaira Bakkach.
2022. "Decoding Diabetes Biomarkers and Related Molecular Mechanisms by Using Machine Learning, Text Mining, and Gene Expression Analysis" International Journal of Environmental Research and Public Health 19, no. 21: 13890.
https://doi.org/10.3390/ijerph192113890
APA Style
Elsherbini, A. M., Alsamman, A. M., Elsherbiny, N. M., El-Sherbiny, M., Ahmed, R., Ebrahim, H. A., & Bakkach, J.
(2022). Decoding Diabetes Biomarkers and Related Molecular Mechanisms by Using Machine Learning, Text Mining, and Gene Expression Analysis. International Journal of Environmental Research and Public Health, 19(21), 13890.
https://doi.org/10.3390/ijerph192113890