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A systems-level machine learning approach uncovers therapeutic targets in clear cell renal cell carcinoma

2025-05-29

Abstract excerpt

We present a generalisable, interpretable machine learning framework for therapeutic target discovery using single-cell transcriptomics, protein interaction networks, and drug proximity analysis. The pipeline integrates feature selection via gradient boosting classifiers, systems-level network inference, and in silico drug repurposing, enabling the identification of actionable targets with cellular specificity. As...

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Literature Corpus work
ba0b749b-bbbe-51ca-81a6-f82d41ef5721
DOI
10.1101/2025.05.26.656158
Open publication

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A systems-level machine learning approach uncovers therapeutic targets in clear cell renal cell carcinomaDOI 10.1101/2025.05.26.656158
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