Significance of Bioinformatics in the Cancer Diagnosis Process
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The improved genetic analysis increases the possibility of identifying mutations. Potentially useful prognostic or predictive biomarkers for patients with metastatic cancer to use in their fight against the disease and for enhancing their quality of life could also emerge from such an investigation. The advanced genomic analysis allows for detecting those at high risk of acquiring metastatic cancer and understanding the pathological process. Useful and making good use of the plethora of data made available by high-throughput experimental gene analysis, the methodologies for data analysis are a boon to the field. They are tasked with a wide range of classification and clustering activities, from diagnostic to mechanical, as well as survival analyses. The probable genes' relevance was hinted at using both mRNA expression analysis and existing CNA data.
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