doi: 10.7763/IJCTE.2010.V2.179
Naïve Bayes Classifier for Classification of Plantand Animal miRNA
Bhasker Pant1
,
Kumud Pant1 ,
K. R. Pardasani1,2
- 1Bioinformatics Department, MANIT, Bhopal, India.
- 2Department of Mathematics, MANIT, Bhopal, India.
Abstract
MicroRNAs (miRNA) are single-stranded RNA molecules of about 21–23 nucleotides in length. MicroRNAs (miRNAs) constitute a large family of non coding RNAs that function to regulate gene expression. Till today wet lab experiments have been used to classify the miRNA of plants and animals. The wet lab techniques are highly expensive, labour intensive and time consuming. Thus there arises a need for computational approach for classification of plants and animal miRNA. These computational approaches are fast and economical as compared to wet lab techniques. In view of abovea machine learning models has been developed for classification of plant and animal miRNA using Naive Bayes classifier. The model has been tested on available data and it gives results with 85.71% accuracy.
How to Cite
Bhasker Pant, Kumud Pant, and K. R. Pardasani, "Naïve Bayes Classifier for Classification of Plantand Animal miRNA," International Journal of Information and Education Technology, vol. 2, no. 3, pp. 420-424, 2010. https://doi.org/10.7763/IJCTE.2010.V2.179
Copyright & License
Copyright © 2010 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).