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We have worked to get CAMP running on our local cluster, and I have successfully run predict_CAMP.py on the example_data.csv. This produced 3 npy files and I could not find documentation explaining the output and interpretation of results. @twopin-can you push the example data output files to the repo and provide more documentation on how to interpret the CAMP output?
The text was updated successfully, but these errors were encountered:
Actually the predicted interacting score is stored in 'pred_label', and the corresponding encoded AA sequences can be found in ‘pep_sequence’ and 'prot_sequence'.
We have worked to get CAMP running on our local cluster, and I have successfully run
predict_CAMP.py
on theexample_data.csv
. This produced 3 npy files and I could not find documentation explaining the output and interpretation of results. @twopin-can you push the example data output files to the repo and provide more documentation on how to interpret the CAMP output?The text was updated successfully, but these errors were encountered: