NN-RNALoc: a neural network based model to predict the cellular location of mRNA

NN-RNALoc is a machine-learning based model to predict the sub-cellular location of mRNAs which is evaluated on two following datasets: Cefra-seq and RNALocate. NN-RNALoc, a neural network-based predictive tool employs the features extracted from mRNA sequences along with the information gathered from their sequences.

Dependency

NN-RNALoc is tested on Python version 3.69 and Keras 2.3.1. Use pip to install packages, separately.

pip install keras==2.3.1 

Running NN-RNALoc

To run NN-RNALoc, first unzip both rnalocate.zip and cefra-seq.zip files contained in Data directory. Then, unzip the PPIdata.zip file and put this information in the Scripts folder. Finally, from scripts open and run RNALocator.py.

Contact

Please do not hesitate to contact me if you have any question:
Mail: negin.babaiha@uni-bonn.de