Aljohani, H.; Anbarserry, D.; Mosli, M.; Ujaimi, A.; Bakhshwin, D.; Elango, R.; Alharthi, S.
High-Throughput Whole-Exome Sequencing and Large-Scale Computational Analysis to Identify the Genetic Biomarkers to Predict the Vedolizumab Response Status in Inflammatory Bowel Disease Patients from Saudi Arabia. Biomedicines 2025, 13, 459.
https://doi.org/10.3390/biomedicines13020459
AMA Style
Aljohani H, Anbarserry D, Mosli M, Ujaimi A, Bakhshwin D, Elango R, Alharthi S.
High-Throughput Whole-Exome Sequencing and Large-Scale Computational Analysis to Identify the Genetic Biomarkers to Predict the Vedolizumab Response Status in Inflammatory Bowel Disease Patients from Saudi Arabia. Biomedicines. 2025; 13(2):459.
https://doi.org/10.3390/biomedicines13020459
Chicago/Turabian Style
Aljohani, Hanin, Doaa Anbarserry, Mahmoud Mosli, Amani Ujaimi, Duaa Bakhshwin, Ramu Elango, and Sameer Alharthi.
2025. "High-Throughput Whole-Exome Sequencing and Large-Scale Computational Analysis to Identify the Genetic Biomarkers to Predict the Vedolizumab Response Status in Inflammatory Bowel Disease Patients from Saudi Arabia" Biomedicines 13, no. 2: 459.
https://doi.org/10.3390/biomedicines13020459
APA Style
Aljohani, H., Anbarserry, D., Mosli, M., Ujaimi, A., Bakhshwin, D., Elango, R., & Alharthi, S.
(2025). High-Throughput Whole-Exome Sequencing and Large-Scale Computational Analysis to Identify the Genetic Biomarkers to Predict the Vedolizumab Response Status in Inflammatory Bowel Disease Patients from Saudi Arabia. Biomedicines, 13(2), 459.
https://doi.org/10.3390/biomedicines13020459