Indonesia Conference Directory

Breast cancer is one of the most common diseases suffered, especially by women, in the world, and about 2 billion new cases of patients with breast cancer in 2018. Therefore, it is very important to detect cancer early. Early detection of cancer can be done through the analysis of DNA abnormalities from blood cell samples, where the sampling does not require surgery, non-invasive and painless, and can reduce the sampling cost. DNA abnormalities can occur due to heredity or mutase gene. This mutase gene causes uncontrolled cell division. There are several types of gene mutations that can occur, namely point mutation and base-pair insertion and deletion mutation. Point mutation is the occurrence of changes in one or several specific genes that do not change the length of DNA, while the base-pair mutation is the addition or deletion of several genes so that the length of the DNA becomes different. From several studies that have been conducted in the medical field there are mutations in the BRCA1, BRCA2, and PALB2 genes, where mutations in these genes can cause an increased risk of breast cancer. Other mutase genes associated with cancer risk are ATM, BARD1, CDH1, CHEK2, MRE11A, NBN, TP53, PALB2, PTEN, RAD50, RECQL, RINT1. In this paper a literature review is conducted on the methods used in bioinformatics to detect mutase genes including Fourier Transform, Discrete Wavelet Transform, Support Vector Machine, Bayesian, Decision Tree Regression Model, Neural Network, Stack Autoencoder, Deep Boltzmann Machine and Tumor Covariate Signature Model.