Objective: An impervious mortality rate in oral cancer (OC) to a certain extent explains the exigencies of precise biomarkers. Therefore, the study was intended to identify OC candidate biomarkers using samples of healthy normal tissues (N=335), adjacent normal tissues (N=93) and OC tissues (N=533) from online microarray data. Methods: Differentially expressed genes (DEGs) were recognised through GeneSpring software (Fold change >4.0 and ‘p’ value
Patel, K. D , Vora, H. H and Patel, P. S (2021). Transcriptional Biomarkers in Oral Cancer: An Integrative Analysis and the Cancer Genome Atlas Validation. Asian Pacific Journal of Cancer Prevention, 22(2), 371-380. doi: 10.31557/APJCP.2021.22.2.371
MLA
Patel, K. D, , Vora, H. H, and Patel, P. S. "Transcriptional Biomarkers in Oral Cancer: An Integrative Analysis and the Cancer Genome Atlas Validation", Asian Pacific Journal of Cancer Prevention, 22, 2, 2021, 371-380. doi: 10.31557/APJCP.2021.22.2.371
HARVARD
Patel, K. D, Vora, H. H, Patel, P. S (2021). 'Transcriptional Biomarkers in Oral Cancer: An Integrative Analysis and the Cancer Genome Atlas Validation', Asian Pacific Journal of Cancer Prevention, 22(2), pp. 371-380. doi: 10.31557/APJCP.2021.22.2.371
CHICAGO
K. D Patel , H. H Vora and P. S Patel, "Transcriptional Biomarkers in Oral Cancer: An Integrative Analysis and the Cancer Genome Atlas Validation," Asian Pacific Journal of Cancer Prevention, 22 2 (2021): 371-380, doi: 10.31557/APJCP.2021.22.2.371
VANCOUVER
Patel, K. D, Vora, H. H, Patel, P. S Transcriptional Biomarkers in Oral Cancer: An Integrative Analysis and the Cancer Genome Atlas Validation. Asian Pacific Journal of Cancer Prevention, 2021; 22(2): 371-380. doi: 10.31557/APJCP.2021.22.2.371
)