Machine learning models for predicting hepatic steatosis based on in vivo data
- Author(s)
- Barbara Zdrazil, Sankalp Jain, Signe Klinting, Sylvia Escher, Gerhard Ecker, Ulf Norinder
- Organisation(s)
- External organisation(s)
- Karolinska Institute, Fraunhofer-Institut für Toxikologie und Experimentelle Medizin
- Journal
- American Chemical Society. Abstracts of Papers (at the National Meeting)
- Volume
- 256
- No. of pages
- 1
- ISSN
- 0065-7727
- Publication date
- 08-2018
- Peer reviewed
- Yes
- Austrian Fields of Science 2012
- 301207 Pharmaceutical chemistry, 301211 Toxicology, 102005 Computer aided design (CAD)
- Portal url
- https://ucris.univie.ac.at/portal/en/publications/machine-learning-models-for-predicting-hepatic-steatosis-based-on-in-vivo-data(75242e3c-a5d6-4b3e-8ba7-6c5d77aa5093).html