Gene Expression-Assisted Cancer Prediction Techniques

Tanima Thakur, Isha Batra, Monica Luthra, Shanmuganathan Vimal, Gaurav Dhiman, Arun Malik, Mohammad Shabaz, Dmitry Zaitsev
2021 Journal of Healthcare Engineering  
Cancer is one of the deadliest diseases and with its growing number, its detection and treatment become essential. Researchers have developed various methods based on gene expression. Gene expression is a process that is used to convert deoxyribose nucleic acid (DNA) to ribose nucleic acid (RNA) and then RNA to protein. This protein serves so many purposes, such as creating cells, drugs for cancer, and even hybrid species. As genes carry genetic information from one generation to another, some
more » ... ene deformity is also transferred to the next generation. Therefore, the deformity needs to be detected. There are many techniques available in the literature to predict cancerous and noncancerous genes from gene expression data. This is an important development from the point of diagnostics and giving a prognosis for the condition. This paper will present a review of some of those techniques from the literature; details about the various datasets on which these techniques are implemented and the advantages and disadvantages.
doi:10.1155/2021/4242646 pmid:34545300 pmcid:PMC8449724 fatcat:6qh3yl3dkjhipiq46v3c2cmq5m