A Dataset of Benchmark Boolean Models for Gene Regulatory Networks
Caya L. O. Hotstegs, Jose P. Llano, Hans A. Kestler · 2026
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Description
Caya Hotstegs, Jose Llano, and Hans Kestler built a standard test set for researchers who model gene networks as on-off switches. Their dataset paper appeared in Scientific Data in 2026. Boolean network models simplify gene regulation into genes that are either active or silent, and they are widely used to study cell behavior. Yet new methods are usually tried on hand-picked or artificial models, which can bias the verdict.
The benchmark set covers four kingdoms of life: animals, bacteria, fungi, and plants. Each model was built from recurring patterns and motifs actually observed in real gene regulatory networks, rather than invented for convenience. That grounding aims to keep the models' structure and dynamics close to biology. With a shared, unbiased yardstick, groups can compare algorithms fairly and spot weaknesses earlier. The authors offer the set as common ground for the modeling community.
Catalog record
| CREATOR | Caya L. O. Hotstegs, Jose P. Llano, Hans A. Kestler |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 24 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |