https://github.com/tugot17/classifying-nucleic-acid-sequence-using-gru
Tensorflow 2.0 implementation of classification of the genetic code sequence. Genetic code has form of Nucleobases sequence (A C T G). We use GRU cells (Gated Recurrent Units) to classyfie given sequence to one of four classes.
https://github.com/tugot17/classifying-nucleic-acid-sequence-using-gru
gru-cells jupyter-notebook nucleobases-sequence tensorflow
Last synced: about 2 months ago
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Tensorflow 2.0 implementation of classification of the genetic code sequence. Genetic code has form of Nucleobases sequence (A C T G). We use GRU cells (Gated Recurrent Units) to classyfie given sequence to one of four classes.
- Host: GitHub
- URL: https://github.com/tugot17/classifying-nucleic-acid-sequence-using-gru
- Owner: tugot17
- License: mit
- Created: 2019-06-27T10:15:29.000Z (about 7 years ago)
- Default Branch: master
- Last Pushed: 2019-09-17T10:25:13.000Z (almost 7 years ago)
- Last Synced: 2025-01-22T03:45:26.412Z (over 1 year ago)
- Topics: gru-cells, jupyter-notebook, nucleobases-sequence, tensorflow
- Language: Jupyter Notebook
- Homepage:
- Size: 1.22 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0