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Journals / Turkish Journal of Engineering / 2019 / Cilt: 3 - Sayı: 3

DETERMINATION OF MALIGNANT MELANOMA BY ANALYSIS OF VARIATION VALUES

Veysel Alcan
Ahmet Kürşat Esim
Hilal Kaya
Pages
120–126
Publication Date
2022-11-05
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

These results show the potential forproposedapplicationbased on NGSto improve Melanoma detection.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Melanoma is aserious disease associated withmutation-based cancer cells.
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Key Findings & Data:In this study, weaimed to proposea bioinformatics application workflow to distinguish between insertions/deletions and somatic/germline mutations, by using NGS methods.Wecarried this study out on a data set containing 100 human genomesdata (20training, 80testing)for the detection of Malignant Melanoma.
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Conclusion & Impact:These results show the potential forproposedapplicationbased on NGSto improve Melanoma detection.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Melanoma is aserious disease associated withmutation-based cancer cells. Geneticstructure andhereditary condition play important role to understand the underlying reasonsof the diseases caused by Deoxiribole Nucleic Acid (DNA). In order to identify mutation carriersand to analyze disease,researchers tend to find various gene determinationsmethods. Nowadays, Next Generation Sequencing (NGS) is emerging as a valuable and powerful platform to detect gene-based diseasesby entiring human genome. In this study, weaimed to proposea bioinformatics application workflow to distinguish between insertions/deletions and somatic/germline mutations, by using NGS methods.Wecarried this study out on a data set containing 100 human genomesdata (20training, 80testing)for the detection of Malignant Melanoma. We foundthat the results of diagnosis performance were92.50% accuracy, 94.03% precision,96.92% sensitivity and 95.45% F1 score. These results show the potential forproposedapplicationbased on NGSto improve Melanoma detection.

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Cite This Article

Alcan, V., Esim, A. K., Kaya, H. (2022). DETERMINATION OF MALIGNANT MELANOMA BY ANALYSIS OF VARIATION VALUES. Turkish Journal of Engineering, Cilt: 3 - Sayı: 3, 120–126. https://ajindex.com/articles/605533

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