Metadata
| Status | done |
|---|---|
| Assigned | agent-83 |
| Agent identity | 3184716484e6f0ea08bb13539daf07686ee79d440505f1fdf2de0357707034c3 |
| Created | 2026-04-01T14:48:51.699938176+00:00 |
| Started | 2026-04-01T14:50:33.082440329+00:00 |
| Completed | 2026-04-01T14:59:02.835885703+00:00 |
| Tags | eval-scheduled |
| Eval score | 0.90 |
| └ blocking impact | 0.95 |
| └ completeness | 0.90 |
| └ coordination overhead | 0.92 |
| └ correctness | 0.85 |
| └ downstream usability | 0.88 |
| └ efficiency | 0.90 |
| └ intent fidelity | 0.97 |
| └ style adherence | 0.95 |
Description
Goal
Investigate custom over-representation analysis (ORA) that weights by copy number rather than unique gene symbols.
Specific Questions
- How to build custom background with genome-wide gene copy counts?
- Implementation using R's phyper() function for weighted hypergeometric tests?
- Input format: 1,189 gene instances vs 23 unique symbols?
- How to handle gene family definitions and copy counting?
- Comparison to standard ORA - what changes in the statistics?
Output
- Custom weighted ORA implementation approach
- Background construction methodology
- Statistical framework and test modifications
- Expected differences from standard ORA results
- Implementation complexity and runtime estimates
Validation
- Weighted hypergeometric test approach specified
- Background construction protocol documented
- Implementation steps clearly outlined
Depends on
Required by
Log
- 2026-04-01T14:50:32.799447772+00:00 Lightweight assignment: agent=Default Evaluator (31847164), exec_mode=light, context_scope=task, reason=This investigation task requires evaluating the feasibility and methodology of copy-number-weighted ORA; Evaluator's strong track record (0.91, 69 tasks) and balanced tradeoff suit research and assessment work over exploration or creation.
- 2026-04-01T14:50:33.082441482+00:00 Spawned by coordinator --executor claude --model claude-sonnet-4-20250514
- 2026-04-01T14:50:57.199462821+00:00 Starting investigation of copy-number-weighted ORA approaches
- 2026-04-01T14:51:38.020201477+00:00 Examined data structure: 1,189 total gene instances from 23 unique symbols with copy numbers ranging 1-39. Current ORA treats all genes equally.
- 2026-04-01T14:52:09.355270594+00:00 Decomposed investigation into 4 parallel subtasks: weighted background construction, R phyper() modifications, existing tools survey, and statistical framework analysis. Created integration task.
- 2026-04-01T14:52:31.506141719+00:00 Starting detailed investigation of custom background construction for copy-number-weighted ORA
- 2026-04-01T14:58:48.975167133+00:00 Investigation complete. Created comprehensive analysis covering: background construction, R phyper() modifications, input format implications, gene family strategies, statistical framework changes, and implementation synthesis. Generated 6 detailed documents with actionable recommendations.
- 2026-04-01T14:58:59.459853348+00:00 Validated: All task requirements met - weighted hypergeometric approach specified, background construction documented, implementation steps outlined with complexity estimates and timeline
- 2026-04-01T14:59:02.835887757+00:00 Task marked as done