Author

Hakan Sat Bozcuk

ORCID 0000-0001-7809-1721Unclaimed 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:benchmarking· 1 Research Focus:database / resource· 1 Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1 Research Focus:software / tool· 1

Activity by Year

2024-2024 · peak 1/yr

1 paper

Recent·Most cited

Genetic & Genomic MedicinemedRxivPreprintJun 3, 2024

Machine Learning Assisted Web Application for Identifying Beneficial Drug Candidates for Genetic Alterations in Cancer Patients

Hakan Sat Bozcuk

The paper develops a web application that uses machine learning to match genetic alterations with drug candidates for cancer patients, identifying optimal clusters of drugs based on interaction scores.

1 citation

machine learning (classical)drug response / drug discovery