ACPred-LAF: a discriminator to identify anti-cancer peptides with learnable and adaptive features based on multi-sense and multi-scaled embedding
Python 100.00%
acpred-laf's Introduction
ACPred-LAF: a deep learning-based classifier to predict anticancer peptides with learnable and adaptive features
How to use it
The main program in the $\text{train}$ folder $\text{main.py}$ file. You could change the $\text{load_config}$ function to achieve custom training and testing, such as modifying datasets, setting hyperparameters and so on. File $\text{main.py}$ has detail notes.
The project is mainly implemented through Pytorch and sklearn. See $\text{requirements.txt}$ for details of dependent packages.
Contact
For further questions or details, reach out to Wenjia He ([email protected])