Ripon Rouf, A.S.M.; Amin, M.A.; Islam, M.K.; Haque, F.; Ahmed, K.R.; Rahman, M.A.; Islam, M.Z.; Kim, B.
Statistical Bioinformatics to Uncover the Underlying Biological Mechanisms That Linked Smoking with Type 2 Diabetes Patients Using Transcritpomic and GWAS Analysis. Molecules 2022, 27, 4390.
https://doi.org/10.3390/molecules27144390
AMA Style
Ripon Rouf ASM, Amin MA, Islam MK, Haque F, Ahmed KR, Rahman MA, Islam MZ, Kim B.
Statistical Bioinformatics to Uncover the Underlying Biological Mechanisms That Linked Smoking with Type 2 Diabetes Patients Using Transcritpomic and GWAS Analysis. Molecules. 2022; 27(14):4390.
https://doi.org/10.3390/molecules27144390
Chicago/Turabian Style
Ripon Rouf, Abu Sayeed Md., Md. Al Amin, Md. Khairul Islam, Farzana Haque, Kazi Rejvee Ahmed, Md. Ataur Rahman, Md. Zahidul Islam, and Bonglee Kim.
2022. "Statistical Bioinformatics to Uncover the Underlying Biological Mechanisms That Linked Smoking with Type 2 Diabetes Patients Using Transcritpomic and GWAS Analysis" Molecules 27, no. 14: 4390.
https://doi.org/10.3390/molecules27144390
APA Style
Ripon Rouf, A. S. M., Amin, M. A., Islam, M. K., Haque, F., Ahmed, K. R., Rahman, M. A., Islam, M. Z., & Kim, B.
(2022). Statistical Bioinformatics to Uncover the Underlying Biological Mechanisms That Linked Smoking with Type 2 Diabetes Patients Using Transcritpomic and GWAS Analysis. Molecules, 27(14), 4390.
https://doi.org/10.3390/molecules27144390
