Integrating Incompatible Assay Data Sets with Deep Preference Learning

[Image: see text] A large amount of bioactivity assay data is already accumulated in public databases, but the integration of these data sets for quantitative structure–activity relationship (QSAR) studies is not straightforward due to differences in experimental methods and settings. We present an...

Descripción completa

Detalles Bibliográficos
Autores principales: Sun, Xiaolin, Tamura, Ryo, Sumita, Masato, Mori, Kenichi, Terayama, Kei, Tsuda, Koji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2021
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8762726/
https://www.ncbi.nlm.nih.gov/pubmed/35047110
http://dx.doi.org/10.1021/acsmedchemlett.1c00439

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8762726/
https://www.ncbi.nlm.nih.gov/pubmed/35047110
http://dx.doi.org/10.1021/acsmedchemlett.1c00439

Ejemplares similares