STRING Network
Cross-source consensus on STRING Network from 1 sources and 5 claims.
1 sources · 5 claims
How it works
Benefits
Evidence quality
Where it comes from
Highlighted claims
- The method used high-confidence STRING v12 protein interaction edges with combined scores above 700. — StackFeat RL: Reinforcement Learning over Iterative Dual Criterion Feature Selection for Stable Biomarker Discovery
- STRING mapping yielded 917,347 high-confidence interactions among measured genes in the Alzheimer's dataset. — StackFeat RL: Reinforcement Learning over Iterative Dual Criterion Feature Selection for Stable Biomarker Discovery
- Filtering by weighted STRING co-selection retained nine interactions among nine genes in three modules. — StackFeat RL: Reinforcement Learning over Iterative Dual Criterion Feature Selection for Stable Biomarker Discovery
- The algorithm incorporated mean STRING interaction with the previously selected set as one of its accumulated state variables. — StackFeat RL: Reinforcement Learning over Iterative Dual Criterion Feature Selection for Stable Biomarker Discovery
- Network and pathway analyses independently pointed to overlapping Alzheimer's-related mechanisms. — StackFeat RL: Reinforcement Learning over Iterative Dual Criterion Feature Selection for Stable Biomarker Discovery