The Molecular Biology Society of Japan

[3P-0802(3PW-02-4)] A challenge of predicting the contribution of chemicals to bacterial growth by machine learning

〇Bei-Wen YING1, Kazuha Ashino1, Kenta Sugano1, Toshiyuki Amagasa1 (1.University of Tsukuba)

growth rate, machine learning, decision tree, population density, E. coli

This archive has moved to the member page of The Molecular Biology Society of Japan.
Members can access the abstracts via links at the member page of the sites.
Please feel free to contact the journal offices for any inquiries.