Accurate microRNA Target Prediction Using Detailed Binding Site Accessibility and Machine Learning on Proteomics Data

@inproceedings{Reczko2011AccurateMT,
  title={Accurate microRNA Target Prediction Using Detailed Binding Site Accessibility and Machine Learning on Proteomics Data},
  author={Martin Reczko and Manolis Maragkakis and Panagiotis Alexiou and Giorgio Lucio Papadopoulos and Artemis G. Hatzigeorgiou},
  booktitle={Front. Gene.},
  year={2011}
}
MicroRNAs (miRNAs) are a class of small regulatory genes regulating gene expression by targeting messenger RNA. Though computational methods for miRNA target prediction are the prevailing means to analyze their function, they still miss a large fraction of the targeted genes and additionally predict a large number of false positives. Here we introduce a novel algorithm called DIANA-microT-ANN which combines multiple novel target site features through an artificial neural network (ANN) and is… CONTINUE READING
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