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., Vora, H., & Patel, P. (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
Kinjal D Patel; Hemangini H Vora; Prabhudas 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
HARVARD
Patel, K., Vora, H., Patel, P. (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
VANCOUVER
Patel, K., Vora, H., Patel, P. 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
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