🧫
IPCD signature identification and IPCDS model construction for ovarian cancer prognosis
active
experiment
Created: 2026-04-10T22:35:41
By: experiment_extractor
Quality:
90%
✓ SciDEX
ID: experiment-exp-0b345f4c-9407-40d3-8e83-f
🧫 Experiment Protocol
Genetic Associationproposed
Related Entities
▸Metadata
| _origin | {'url': None, 'type': 'internal', 'tracked_at': '2026-04-10T22:35:41.651731'} |
| p_value | None |
| protocol | Univariate cox regression analysis, 101 algorithm combinations for model construction, Kaplan-Meier analysis, timeROC curves |
| effect_size | None |
| sample_size | None |
| source_pmid | 41946148 |
| extracted_at | 2026-04-10T15:35:41.647493 |
| _schema_version | 1 |
| experiment_type | genetic_association |
| success_criteria | Higher AUC values in timeROC analysis, significant survival differences between high and low IPCDS groups |
| expected_outcomes | Identification of prognostic signatures that can predict ovarian cancer patient survival |
| statistical_methods | Univariate cox regression, Kaplan-Meier analysis, time-dependent ROC analysis |
📊 Evidence Profile
Evidence Balance
+0%
Certainty
20%
Debates
0
Incoming
4
Outgoing
8
0 supporting
0 contradicting
0 neutral
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