Prediction of Compound Bioactivities Using Heat-Diffusion Equation

Machine learning is expected to improve low throughput and high assay cost in cell-based phenotypic screening. However, it is still a challenge to apply machine learning to achieving sufficiently complex phenotypic screening due to imbalanced datasets, non-linear prediction, and unpredictability of...

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Detalles Bibliográficos
Autores principales: Hidaka, Tadashi, Imamura, Keiko, Hioki, Takeshi, Takagi, Terufumi, Giga, Yoshikazu, Giga, Mi-Ho, Nishimura, Yoshiteru, Kawahara, Yoshinobu, Hayashi, Satoru, Niki, Takeshi, Fushimi, Makoto, Inoue, Haruhisa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7733880/
https://www.ncbi.nlm.nih.gov/pubmed/33336198
http://dx.doi.org/10.1016/j.patter.2020.100140

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7733880/
https://www.ncbi.nlm.nih.gov/pubmed/33336198
http://dx.doi.org/10.1016/j.patter.2020.100140

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