Author

Silas Ruhrberg Estévez

University of CambridgeORCID 0000-0002-0123-2239Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Gehad YoussefiD· 1 shared Greta BaltušytėiD· 1 shared Namshik HaniD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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1 shared paperSystems Biology

Gehad YoussefORCID

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1 paper

Recent·Most cited

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

Silas Ruhrberg Estévez, Greta Baltušytė, Gehad Youssef, Namshik Han

This paper develops a machine learning framework for therapeutic target discovery in ccRCC, identifying 16 targets and novel mechanisms with superior efficacy to standard-of-care drugs.

bioRxiv · May 26, 2025 · PreprintSystems Biology