Repeat-dose toxicity prediction with Generalized Read-Across (GenRA) using targeted transcriptomic data

Description

Here are all of the data files used for this manuscript. Please note that this is all published data. Imran Shah 1.1060+ Chemicals and Chemical controls 2. Chemical descriptors (chm): 2048 Morgan (mrgn) 2048 Topological Torsion (tptr) 729 ToxPrints (toxp) 3. Transcriptomic descriptors(bio): 95 Gene (ge) 189 Assay (asy) 4. 922 Toxicity outcomes(tox) 5. 86 Predefined Chemical Clusters

Resources

Name Format Description Link
0 https://github.com/i-shah/genra-ltea
53 S7-chem.xlsx https://pasteur.epa.gov/uploads/10.23719/1524247/S7-chem.xlsx
53 S3-clust.xlsx https://pasteur.epa.gov/uploads/10.23719/1524247/S3-clust.xlsx
53 S3-bio.xlsx https://pasteur.epa.gov/uploads/10.23719/1524247/S3-bio.xlsx
53 S2-bio.xlsx https://pasteur.epa.gov/uploads/10.23719/1524247/S2-bio.xlsx
53 S1-tox.xlsx https://pasteur.epa.gov/uploads/10.23719/1524247/S1-tox.xlsx

Tags

  • chemical-safety-research
  • curated-data
  • pharmacokinetics
  • models

Topics

Categories