Home › Cohorts › Contamination source modeling with SCRuB improves cancer phenotype prediction from microbiome data.
Contamination source modeling with SCRuB improves cancer phenotype prediction from microbiome data. PC23997AE9
2 studies · 2,193 curated samples · 267 distinct subject identifiers · 1 shared paper. Grouping rule: shared paper, same submitting centre.
Age categories
| adult | 1,444 |
| unknown | 748 |
| neonate | 1 |
Countries
| US | 2,193 |
Health conditions
| healthy_control Healthy / control | 136 |
| other_disease Other disease / condition | 30 |
| allergy_or_atopy Allergy / atopy / asthma | 21 |
| other_cancer Other cancer (incl. immunotherapy cohorts) | 15 |
| neurological_psychiatric Neurological / psychiatric (PD | 10 |
| other_infection Other infection (HIV | 10 |
Studies
| study | title | samples | source |
|---|---|---|---|
| PRJEB40903 | DNA extraction comparison testing 2019-2020 | 1,971 | gut_all_v1 |
| PRJEB50408 | Resistant starch gut microbiome | 222 | gut_all_v1 |
Shared papers
- Contamination source modeling with SCRuB improves cancer phenotype prediction from microbiome data. — PMID 36928429 · PMC10504420 · doi · studies: PRJEB40903, PRJEB50408