A computational study of gene expression patterns in head and neck squamous cell carcinoma using TCGA data

A computational study of gene expression patterns in head and neck squamous cell carcinoma using TCGA data

Aim: Head and Neck squamous cell carcinoma (HNSCC) is the second most prevalent cancer in Pakistan. Methods: Gene expression data from TCGA and GETx for normal genes to analyze Differentially Expressed Genes (DEGs). Data was further investigated using the Enrichr tool to perform Gene Ontology (GO)....

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Bibliographic Details
Main Authors: Saqib Rauf, Sami Ullah, Muhammad Adil Abid, Asad Ullah, Gullzar Khan, Ainee Urooj Khan, Gulzar Ahmad, Muhammad Ijaz, Sidra Ahmad, Sulaiman Faisal
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:Future Science OA
Subjects:
Big Data
DEG
Gene Ontology
HNSCC
KRT13
TCGA
Online Access:https://www.tandfonline.com/doi/10.1080/20565623.2024.2380590
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