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thanks very much for your paper "Machine learning designs non-hemolyticantimicrobial peptides" and shared codes!
Your awesome isolutions is a ensemable of simple RNN models to solve a nice issue!
I am trying to reproduce your codes and may hope replace GRU with LSTM in future.
In 01b-hemolysis-data-extraction.ipynb, the codes call dbassp api link, "https://dbaasp.org/api/v1", but the link is invalid.
I goto dbassp website, the current api version is v3 and need pre apply a key from dbaasp.
Currently, I hope firstly to reproduce your codes.
Could you share the "DAASP_RNN_dataset_with_hemolysis" data in .csv or .plk(pandas pickle) which is created in 01b step?
Later, we will apply the key for dbaasp api v3 after I can run your codes throughtly.
thanks a lot in advance!!
BTW, why not use LSTM but use GRU? I guess it's because the data volume is small and so GRU is enough?
Rocke dong(Dong qichang)
The text was updated successfully, but these errors were encountered:
Hi Alice and reymond-group,
thanks very much for your paper "Machine learning designs non-hemolyticantimicrobial peptides" and shared codes!
Your awesome isolutions is a ensemable of simple RNN models to solve a nice issue!
I am trying to reproduce your codes and may hope replace GRU with LSTM in future.
In 01b-hemolysis-data-extraction.ipynb, the codes call dbassp api link, "https://dbaasp.org/api/v1", but the link is invalid.
I goto dbassp website, the current api version is v3 and need pre apply a key from dbaasp.
Currently, I hope firstly to reproduce your codes.
Could you share the "DAASP_RNN_dataset_with_hemolysis" data in .csv or .plk(pandas pickle) which is created in 01b step?
Later, we will apply the key for dbaasp api v3 after I can run your codes throughtly.
thanks a lot in advance!!
BTW, why not use LSTM but use GRU? I guess it's because the data volume is small and so GRU is enough?
Rocke dong(Dong qichang)
The text was updated successfully, but these errors were encountered: