Applying and an Assessment for Machine Learning Techniques for Classifying Cancer Via TP53 Gene Mutations

Volume 20 No 7 (2022)

Dina Yousif Mikhail 1, Dr. Firas Husham Almukhtar , Ali Hussein Yousif , Dr. Shahab Wahab Kareem

DOI: 10.14704/nq.2022.20.7.NQ33081

Abstract

Prognosis of mutations plays a vital role in the detection and effective prevention of cancers. Due to mutations in the TP53 gene Database, the tumor suppressor P53 is responsible for a substantial number of human malignancies

Keywords

Artificial Neural Network, Mutation, TP53 gene, Bagging Classifier, K nearest neighbors

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