investigate-copy-number

Investigate copy-number-weighted ORA

Metadata

Statusdone
Assignedagent-83
Agent identity3184716484e6f0ea08bb13539daf07686ee79d440505f1fdf2de0357707034c3
Created2026-04-01T14:48:51.699938176+00:00
Started2026-04-01T14:50:33.082440329+00:00
Completed2026-04-01T14:59:02.835885703+00:00
Tagseval-scheduled
Eval score0.90
└ blocking impact0.95
└ completeness0.90
└ coordination overhead0.92
└ correctness0.85
└ downstream usability0.88
└ efficiency0.90
└ intent fidelity0.97
└ style adherence0.95

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