Datasets

All datasets are accessible through the DILImap Python API. To get started, install the package:

pip install dilimap

For example, to load DILI labels for all compounds, run:

import dilimap as dmap
df = dmap.datasets.compound_DILI_labels()

Compound-level data

• Consensus Cmax values (Median Cmax per compound aggregated from 20+ studies)

• Compound DILI labels (DILI annotations derived from DILIrank and LiverTox)

• Cell viability data (Raw viability data and IC₁₀ estimates)

DILImap training data

• Raw counts* (Raw gene expression counts)

• Gene signatures* (Differential gene expression from DESeq2)

• Pathway signatures (Pathway activation scores computed using WikiPathways)

DILImap validation data

• Raw counts (Raw gene expression counts)

• Gene signatures (Differential gene expression from DESeq2)

• Pathway signatures (Pathway activation scores computed using WikiPathways)

Models

• ToxPredictor model (ToxPredictor DILI prediction model)

Note: Raw training data marked with an asterisk (*) are proprietary and available only upon request, subject to data-sharing agreements.