IPMiner: hidden ncRNA-protein interaction sequential pattern mining with stacked autoencoder for accurate computational prediction

@inproceedings{Pan2016IPMinerHN,
  title={IPMiner: hidden ncRNA-protein interaction sequential pattern mining with stacked autoencoder for accurate computational prediction},
  author={Xiaoyong Pan and Yong-Xian Fan and Junchi Yan and Hong-Bin Shen},
  booktitle={BMC Genomics},
  year={2016}
}
Non-coding RNAs (ncRNAs) play crucial roles in many biological processes, such as post-transcription of gene regulation. ncRNAs mainly function through interaction with RNA binding proteins (RBPs). To understand the function of a ncRNA, a fundamental step is to identify which protein is involved into its interaction. Therefore it is promising to computationally predict RBPs, where the major challenge is that the interaction pattern or motif is difficult to be found. In this study, we propose a… CONTINUE READING
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