Publication Type : Conference Proceedings
Publisher : Springer Nature Singapore
Source : Lecture Notes in Networks and Systems
Url : https://doi.org/10.1007/978-981-19-8825-7_22
Campus : Bengaluru
School : School of Computing
Year : 2023
Abstract : Breast cancer is one of the most common types of cancer found in more than half of women worldwide, and the main cause of breast cancer is due to changes in the genomic sequence of breast tissue caused mainly by environmental factors and genetic mutations. There is a specific genomic sequence associated with the diagnosis of breast cancer. There is a sequence commonly referred to as the breast cancer gene 1 (BRCA1) sequence, the modification of the aforementioned sequence will increase breast cancer. The paper aims at discussing the genomic sequence-based breast cancer detection. The proposed approach identifies the specific changes that occur in the BRCA1 sequence. The approach analyzes the specific affected areas based on the additional studies conducted on the sequence of acquired DNA. Various techniques are used for analysis and tried to find the most accurate methods of DNA analysis and discovery. The approach applies one-hot encoding technique to compare the mutated BRCA1 and normal BRCA1. This identifies the location and degree with which the gene is being altered. Thus, this paper proposes the technique that identifies the place and degree of alteration that causes the breast cancer.
Cite this Research Publication : S. G. Shaila, Ganapati Bhat, V. R. Gurudas, Arya Suresh, K. Hithyshi, BRCA1 Genomic Sequence-Based Early Stage Breast Cancer Detection, Lecture Notes in Networks and Systems, Springer Nature Singapore, 2023, https://doi.org/10.1007/978-981-19-8825-7_22