Species Normalization
Cross-source consensus on Species Normalization from 1 sources and 4 claims.
1 sources · 4 claims
How it works
Benefits
Risks & contraindications
Evidence quality
Highlighted claims
- Gene normalization coverage was high but incomplete across all three datasets. — Measuring the State of the Art of Automated Pathway Curation Using Graph Algorithms - A Case Study of the mTOR Pathway
- Entrez-based matching greatly improved apparent species overlap compared with name-based matching. — Measuring the State of the Art of Automated Pathway Curation Using Graph Algorithms - A Case Study of the mTOR Pathway
- Species were normalized with GNAT, which returned Entrez Gene identifiers restricted to human organisms. — Measuring the State of the Art of Automated Pathway Curation Using Graph Algorithms - A Case Study of the mTOR Pathway
- Species normalization requires downstream decisions about which identifier hypotheses to accept or reject. — Measuring the State of the Art of Automated Pathway Curation Using Graph Algorithms - A Case Study of the mTOR Pathway