PmliPred

PmliPred is a software tool for predicting interactions between microRNAs (miRNAs) and long non-coding RNAs (lncRNAs) in plants. Utilizing both deep learning and shallow machine learning models trained on raw sequence and manually extracted features, respectively, PmliPred combines these models through fuzzy decision-making for interaction prediction.

Topic

Functional, regulatory and non-coding RNA;Plant biology;Machine learning;Probes and primers

Detail

  • Operation: miRNA target prediction;miRNA expression analysis

  • Software interface: Command-line user interface

  • Language: Python

  • License: Not stated

  • Cost: Free

  • Version name: -

  • Credit: National Natural Science Foundation of China.

  • Input: -

  • Output: -

  • Contact: Jun Meng mengjun@dlut.edu.cn ,Yushi Luan luanyush@dlut.edu.cn

  • Collection: -

  • Maturity: -

Publications

  • PmliPred: a method based on hybrid model and fuzzy decision for plant miRNA-lncRNA interaction prediction.
  • Kang Q, et al. PmliPred: a method based on hybrid model and fuzzy decision for plant miRNA-lncRNA interaction prediction. PmliPred: a method based on hybrid model and fuzzy decision for plant miRNA-lncRNA interaction prediction. 2020; 36:2986-2992. doi: 10.1093/bioinformatics/btaa074
  • https://doi.org/10.1093/BIOINFORMATICS/BTAA074
  • PMID: 32087005
  • PMC: -

Download and documentation

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