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

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

Data and Resources

Field Value
accessLevel public
bureauCode {020:00}
catalog_conformsTo https://project-open-data.cio.gov/v1.1/schema
identifier https://doi.org/10.23719/1524247
license https://pasteur.epa.gov/license/sciencehub-license.html
modified 2021-11-04
programCode {020:000}
publisher U.S. EPA Office of Research and Development (ORD)
publisher_hierarchy U.S. Government > U.S. Environmental Protection Agency > U.S. EPA Office of Research and Development (ORD)
resource-type Dataset
source_datajson_identifier true
source_hash 8694782c696384328404bfcf0e69cff5c260d0a9
source_schema_version 1.1
Groups
  • AmeriGEOSS
  • National Provider
  • North America
Tags
  • amerigeo
  • amerigeoss
  • chemical-safety-research
  • ckan
  • curated-data
  • geo
  • geoss
  • models
  • national
  • north-america
  • pharmacokinetics
  • united-states
isopen False
license_id other-license-specified
license_title other-license-specified
maintainer Imran Shah
maintainer_email shah.imran@epa.gov
metadata_created 2025-11-21T15:34:42.832027
metadata_modified 2025-11-21T15:34:42.832031
notes 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
num_resources 6
num_tags 12
title Repeat-dose toxicity prediction with Generalized Read-Across (GenRA) using targeted transcriptomic data