https://github.com/ethanmclark1/kpnn
Knowledge-Primed Neural Network (KPNN) is a deep learning model designed to predict T-cell receptor (TCR) signaling using gene expression data. By leveraging domain knowledge in the form of a gene hierarchy, KPNN constructs a computational graph that mirrors the biological network, enabling interpretable results and improved accuracy.
https://github.com/ethanmclark1/kpnn
bioinformatics biology computational-biology gene-expression interpretability knowledge-primed neural-network sequencing t-cell-receptor tensorflow
Last synced: 7 months ago
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Knowledge-Primed Neural Network (KPNN) is a deep learning model designed to predict T-cell receptor (TCR) signaling using gene expression data. By leveraging domain knowledge in the form of a gene hierarchy, KPNN constructs a computational graph that mirrors the biological network, enabling interpretable results and improved accuracy.
- Host: GitHub
- URL: https://github.com/ethanmclark1/kpnn
- Owner: ethanmclark1
- License: apache-2.0
- Created: 2023-12-07T22:45:59.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-03-21T17:23:56.000Z (over 1 year ago)
- Last Synced: 2024-03-21T19:57:47.151Z (over 1 year ago)
- Topics: bioinformatics, biology, computational-biology, gene-expression, interpretability, knowledge-primed, neural-network, sequencing, t-cell-receptor, tensorflow
- Language: Python
- Homepage:
- Size: 89.9 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE