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PaccmannRL: Designing Anticancer Drugs From Transcriptomic Data via Reinforcement Learning

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2020) 12074 LNBI 231-233
DOI: 10.1007/978-3-030-45257-5_18
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Abstract

The pharmaceutical industry has experienced a significant productivity decline: Less than 0.01% of drug candidates obtain market approval, with an estimated 10–15 years until market release and costs that range between one [2] to three billion dollars per drug [3].

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Born, J., Manica, M., Oskooei, A., Cadow, J., & Rodríguez Martínez, M. (2020). PaccmannRL: Designing Anticancer Drugs From Transcriptomic Data via Reinforcement Learning. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12074 LNBI, pp. 231–233). Springer. https://doi.org/10.1007/978-3-030-45257-5_18

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