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- W3135072568 abstract "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" @default.
- W3135072568 created "2021-03-15" @default.
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- W3135072568 date "2021-02-01" @default.
- W3135072568 modified "2023-10-16" @default.
- W3135072568 title "Transcriptional Biomarkers in Oral Cancer: An Integrative Analysis and the Cancer Genome Atlas Validation" @default.
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- W3135072568 doi "https://doi.org/10.31557/apjcp.2021.22.2.371" @default.
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