文章基本信息

标题：A Survey on Genomic Dataset for Predicting the DNA Abnormalities Using Ml
本地全文：下载
作者：Siripuri Divya ; Y. Bhavani ; Thota Mahesh Kumar 等
期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2022
卷号：13
期号：5
DOI：10.14569/IJACSA.2022.0130537
语种：English
出版社：Science and Information Society (SAI)
摘要：Genomic data is used in bioinformatics for collecting, storing and processing the genomes of living things. In order to process the genetic information, machine learning algorithms plays a vital role in building a computational model by using the statistical theory. This paper helps the researchers, who are doing research with the DNA dataset by applying the machine learning logics. Feature scaling machine learning techniques helps in predicting the sequence of genome for extrachromosomal amplification and predicting the tumor intensity in the human gene. Identification of unconventional chromosome in the DNA sequence minimizes the structural risk. In this paper, researchers can get clear insight on classification, sequence prediction, fuzzy relationship and SNP on genome dataset. The performance of various existing models is measured using the performance metrics and the accuracy.
关键词：Genomic data; deoxyribonucleic acid (DNA); machine learning algorithms; single nucleotide polymorphism (SNPs)