Corpus ID: 3261635

Deep Neural Network Based Precursor microRNA Prediction on Eleven Species

@article{Thomas2017DeepNN,
  title={Deep Neural Network Based Precursor microRNA Prediction on Eleven Species},
  author={Jaya Thomas and Lee Sael},
  journal={ArXiv},
  year={2017},
  volume={abs/1704.03834}
}
MicroRNA (miRNA) are small non-coding RNAs that regulates the gene expression at the post-transcriptional level. Determining whether a sequence segment is miRNA is experimentally challenging. Also, experimental results are sensitive to the experimental environment. These limitations inspire the development of computational methods for predicting the miRNAs. We propose a deep learning based classification model, called DP-miRNA, for predicting precursor miRNA sequence that contains the miRNA… Expand
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The deep neural network based classification model for predicting precursor miRNA sequence that contains the mi RNA sequence outperformed support vector machine, neural network, naive Bayes classifiers, k-nearest neighbors, random forests as well as hybrid systems combining SVM and genetic algorithm. Expand
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