Decision Tree Classifier for Classification of Plant and Animal Micro RNA’s
- Cite this paper as:
- Pant B., Pant K., Pardasani K.R. (2009) Decision Tree Classifier for Classification of Plant and Animal Micro RNA’s. In: Cai Z., Li Z., Kang Z., Liu Y. (eds) Computational Intelligence and Intelligent Systems. ISICA 2009. Communications in Computer and Information Science, vol 51. Springer, Berlin, Heidelberg
Gene expression is regulated by miRNAs or micro RNAs which can be 21-23 nucleotide in length. They are non coding RNAs which control gene expression either by translation repression or mRNA degradation. Plants and animals both contain miRNAs which have been classified by wet lab techniques. These techniques are highly expensive, labour intensive and time consuming. Hence faster and economical computational approaches are needed. In view of above a machine learning model has been developed for classification of plant and animal miRNAs using decision tree classifier. The model has been tested on available data and it gives results with 91% accuracy.
KeywordsMicro RNA’s Decision Tree Classification Cross validation
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