rocke2020 / MultiPep

MultiPep stand-alone corpus

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MultiPep

MultiPep stand-alone program and network parameters

To use the MultiPep_predict.py for finding mean of models:

python MultiPep_predict.py -input_file test_seqs.txt -output_file output.csv -pred_type mean


To use the MultiPep_predict.py for finding max of models:

python MultiPep_predict.py -input_file test_seqs.txt -output_file output.csv -pred_type max


To geneate sequence data (not necessary):

python extract_data_and_bin_up2.py


final.py is the final version of MultiPep where the loss function is binary cross entropy and MCC.

weithed_final.py is the final version of MultiPep where the loss function is class weighted binary cross entropy.

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MultiPep stand-alone corpus

License:MIT License


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