Gene Regulatory Networks
Cross-source consensus on Gene Regulatory Networks from 1 sources and 4 claims.
1 sources · 4 claims
Uses
How it works
Risks & contraindications
Highlighted claims
- Attractors in gene regulatory networks correspond to stable or recurrent gene expression patterns. — Identifying the Attractors of Gene Regulatory Networks from Expression Data under Uncertainty: An Interpretable Approach
- Attractor landscape analysis is used to interpret cellular states and cell-fate transitions in systems biology. — Identifying the Attractors of Gene Regulatory Networks from Expression Data under Uncertainty: An Interpretable Approach
- Real biological circuits can have attractor landscapes altered by mutations, epigenetic changes, and environmental conditions. — Identifying the Attractors of Gene Regulatory Networks from Expression Data under Uncertainty: An Interpretable Approach
- Methods for real biological circuits should incorporate uncertainty instead of relying only on nominal deterministic models. — Identifying the Attractors of Gene Regulatory Networks from Expression Data under Uncertainty: An Interpretable Approach