Ecosyste.ms: Papers

An open API service providing mapping between scientific papers and software projects that are mentioned in them.
All mentions data is based on the CZI Software Mentions dataset.

Papers: 10.1007/s00204-017-2067-x

https://doi.org/10.1007/s00204-017-2067-x

Predicting in vivo effect levels for repeat-dose systemic toxicity using chemical, biological, kinetic and study covariates

Cited by: 11
Author(s): Lisa Truong, Gladys Ouédraogo, Ly Ly Pham, Jacques Clouzeau, Sophie Loisel-Joubert, Delphine Blanchet, Hicham Noçairi, Woodrow Setzer, Richard S. Judson, Christopher M. Grulke, Kamel Mansouri, Matthew T. Martin
Published: about 7 years ago

Software Mentions 4

cran: httk
High-Throughput Toxicokinetics
Papers that mentioned: 3
cran: randomForest
Breiman and Cutler's Random Forests for Classification and Regression
Papers that mentioned: 1,447
pypi: HESS
HESS black-box algorithm from http://www.peqnp.com
Papers that mentioned: 17
pypi: httk
The high-thoughput toolkit: workflow, project management, storage, and data analysis for large-scale computational projects
Papers that mentioned: 3