PeeteKeesel/gnn-for-drug-response-prediction
:dna: Process repository for my master thesis attacking drug response prediction on cancer cell-lines using bi-modal graph neural networks
This project helps cancer researchers and drug discovery scientists predict how cancer cell lines will respond to various drugs. By taking information about gene expression, copy number variations, and mutations in cancer cell lines, along with details about gene interactions, it can estimate a cell line's sensitivity to a specific drug. The primary users are researchers working in oncology and pharmacology who want to screen drug candidates more effectively.
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Use this if you are a researcher needing to predict drug response in cancer cell lines based on their genetic and genomic profiles.
Not ideal if you need a general-purpose tool for drug discovery outside of cancer cell line response prediction or if you lack access to detailed genomic data for cell lines.
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Jupyter Notebook
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MIT
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Last pushed
Apr 18, 2023
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