nusco / DeepHINT

Deep learning for HIV

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DeepHINT

Deep learning for HIV

Install the following libraries:

All the trained deep learning models are in the `model/`` folder. To reproduce the result in the data:

  1. Dowload the test bed file from the data/ folder.
  2. Download the hg19 reference genome from UCSC.
  3. Run data.py (modify the bedtools command in the script) to generate test inputs (X) and labels (y).
  4. Run DeepHINT.py.

Note that a user-friendly online version of DeepHINT is coming soon. The current implementation of DeepHINT was based in part on the source code of iDeepA.

If you have any questions, please feel free to contact me : )

Email: huhl16@mails.tsinghua.edu.cn

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Deep learning for HIV


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