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  • 标题:Genome Sequencing and Classifier
  • 本地全文:下载
  • 作者:Puneet Gupta ; Gaurav Melkani ; Sunil Maggu
  • 期刊名称:International Journal of Advances in Engineering and Management
  • 电子版ISSN:2395-5252
  • 出版年度:2021
  • 卷号:3
  • 期号:6
  • 页码:1759-1767
  • DOI:10.35629/5252-030616171625
  • 语种:English
  • 出版社:IJAEM JOURNAL
  • 摘要:This research paper is about to perform sequence and classification on DNA Sequence using machine learning. Genomics is a branch of molecular biology focused on studying all aspects of a genome, or the complete set of genes within a particular organism. Today, machine learning is playing an integral role in the evolution of the field of genomics. The ability to sequence DNA provides researchers with the ability to “read” the genetic blueprint that directs all the activities of a living organism. In the ML categories of classification, clustering and regression have been proven useful for solving biological research questions such as gene signatures, functional genomics, gene-phenotype associations and gene interactions.
  • 关键词:DNA Sequence;Python KMer;Classification;Count vectorizer;NLP;Naive Bayes;Machine Learning;Bag of Words
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