Supplementary Data - Metabolite annotation from knowns to unknowns through knowledge-guided multi-layer network
<p><strong>Supplementary data 1</strong>: Peak annotation evaluation between MetDNA1 and KGMN (MetDNA2)</p> <p><strong>Supplementary data 2</strong>: 46 standard mixture (46std_mix) and the knowledge-based metabolic reaction network</p> <p><strong>Supplementary data 3</strong>: KGMN results of 46std_mix data set and validation results</p> <p><strong>Supplementary data 4</strong>: KGMN results of NIST urine data sets and validation results</p> <p><strong>Supplementary data 5</strong>: KGMN results of different biological samples</p> <p><strong>Supplementary data 6</strong>: Recurrent unknowns of NIST urine via repository-mining</p> <p><strong>Supplementary data 7</strong>: Table of adducts, neutral losses, empirical rules in KGMN</p>
ShareScore
32/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0