Simulation Results

Cross-source consensus on Simulation Results from 1 sources and 5 claims.

1 sources · 5 claims

Comparisons

The fuzzy method identified attractors from steady-state fuzzy granules in all four tests. — Identifying the Attractors of Gene Regulatory Networks from Expression Data under Uncertainty: An Interpretable Approach
Test 4 yields a single zero-zero attractor rather than two attractors. — Identifying the Attractors of Gene Regulatory Networks from Expression Data under Uncertainty: An Interpretable Approach
Test 1 identifies medium-zero and zero-medium attractor states. — Identifying the Attractors of Gene Regulatory Networks from Expression Data under Uncertainty: An Interpretable Approach
Test 2 identifies high-zero and zero-high attractors under the higher synthesis parameter alpha 7. — Identifying the Attractors of Gene Regulatory Networks from Expression Data under Uncertainty: An Interpretable Approach
Test 3 identifies low-zero and zero-low attractors under reduced synthesis alpha 3. — Identifying the Attractors of Gene Regulatory Networks from Expression Data under Uncertainty: An Interpretable Approach