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MiRLocator

Source code and the RNA embedding we used in Prediction of MicroRNA Subcellular Localization by Using a Sequence-to-Sequence Model (ICDM 2018).

Requirements

  • Python>=2
  • NumPy
  • Scipy
  • Pickle
  • Dynet

Usage

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Results

Macro F Micro F Precision Recall Average Precision
49.33 58.20 50.33 48.49 57.96

Citation

Please cite this paper in your publications if it helps your research:

@INPROCEEDINGS{8594990, 
author={Y. Xiao and J. Cai and Y. Yang and H. Zhao and H. Shen}, 
booktitle={2018 IEEE International Conference on Data Mining (ICDM)}, 
title={Prediction of MicroRNA Subcellular Localization by Using a Sequence-to-Sequence Model}, 
year={2018}, 
volume={}, 
number={}, 
pages={1332-1337}, 
keywords={Conferences;Data mining;MicroRNA;Subcellular Localization;RNA2Vec;Sequence-to-Sequence}, 
doi={10.1109/ICDM.2018.00181}, 
ISSN={2374-8486}, 
month={Nov},}