###################################################################################### Using Trained CNN model to predict pre-miRNAs. Data are from the human pre-miRNAs and hairpin structure sequences from human coding regions.
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USAGE: python isPreMiR.py -s RNAsequence for example: python isPreMiR.py -s CUCCGGUGCCUACUGAGCUGAUAUCAGUUCUCAUUUUACACACUGGCUCAGUUCAGCAGGAACAGGA
python isPreMiR.py -i inputFilePath [-o outputFilePath]
(note:The length of RNA should be not more than 180, all the input RNA sequence will be truncated or padded into 180 length)
- Python 3
- Tensorflow > 0.12
- Numpy
- RNAfold (/bin/RNAfold)
We trained the CNN model,RNN model and the concat model to train the dataset.
Evaluate the trained model on test dataset.