Ontology highlight
ABSTRACT:
SUBMITTER: Luechtefeld T
PROVIDER: S-EPMC5848496 | biostudies-literature | 2017
REPOSITORIES: biostudies-literature
Luechtefeld Thomas T Hartung Thomas T
ALTEX 20170101 4
Computational prediction of toxicity has reached new heights as a result of decades of growth in the magnitude and diversity of biological data. Public packages for statistics and machine learning make model creation faster. New theory in machine learning and cheminformatics enables integration of chemical structure, toxicogenomics, simulated and physical data in the prediction of chemical health hazards, and other toxicological information. Our earlier publications have characterized a toxicolo ...[more]