PaccMannRL: Designing anticancer drugs from transcriptomic data via reinforcement learning

The dataset used in the paper is a collection of gene expression profiles from cancer cells, as well as a collection of bioactive small molecules.

Data and Resources

Cite this as

Jannis Born, Matteo Manica, Ali Oskooei, Joris Cadow, Karsten Borgwardt, María Rodríguez Martínez (2024). Dataset: PaccMannRL: Designing anticancer drugs from transcriptomic data via reinforcement learning. https://doi.org/10.57702/pe0uf36v

DOI retrieved: December 2, 2024

Additional Info

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Created December 2, 2024
Last update December 2, 2024
Defined In https://doi.org/10.1007/978-3-030-45257-5_18
Author Jannis Born
More Authors
Matteo Manica
Ali Oskooei
Joris Cadow
Karsten Borgwardt
María Rodríguez Martínez
Homepage https://ibm.box.com/v/paccmann-pytoda-data