Automated Pathway Curation
Cross-source consensus on Automated Pathway Curation from 1 sources and 4 claims.
1 sources · 4 claims
Uses
Comparisons
Evidence quality
Highlighted claims
- The main evaluation gap is between extracting individual text events and producing a connected biological pathway. — Measuring the State of the Art of Automated Pathway Curation Using Graph Algorithms - A Case Study of the mTOR Pathway
- Automated pathway curation is motivated by the inability of manual curation to keep up with biomedical publication volume. — Measuring the State of the Art of Automated Pathway Curation Using Graph Algorithms - A Case Study of the mTOR Pathway
- Automated systems can recover many relevant event fragments under relaxed matching but do not reconstruct the curated pathway as a connected model. — Measuring the State of the Art of Automated Pathway Curation Using Graph Algorithms - A Case Study of the mTOR Pathway
- Automated pathway curation needs improvements in species normalization, complex extraction, graph composition, and biological abstraction levels. — Measuring the State of the Art of Automated Pathway Curation Using Graph Algorithms - A Case Study of the mTOR Pathway