Browsing by Author Villalobos, Rodney V.
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Identification of secondary and tertiary motifs in DNA sequences through naive Bayesian text classification
Faced with uncertain data and an unpredictable return on computational tool investment, researchers are opting for laboratory studies over in silico (computer based) studies. This study addressed the lack of efficiency in identifying motifs (biologically significant amino sequences) in deoxyribonucleic acid (DNA) sequences via naive Bayesian text classification. DNA is a nucleic acid that carries genetic information in cells. A naive Bayesian text classifier is a machine-learning tool that uses automated means of determining metadata and has been used to identify e-mail worms, viruses, and spam. This quantitative study utilized a naive Bayesian text classification algorithm as the pri...