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Proteomic Trajectory Feature Engineering
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Linked challenge: Longitudinal Proteomics Biomarker Analysis and Trial Matching with LlamaIndex and Claude 4 Sonnet
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Linked challenge
Longitudinal Proteomics Biomarker Analysis and Trial Matching with LlamaIndex and Claude 4 Sonnet
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Write a Python module that ingests longitudinal plasma proteomic time-series matrices (NPX values) and computes longitudinal volatility metrics (e.g., standard deviation, normalized rate of change slope). Return structured summary data identifying significantly volatile markers.
Adaptation plan
Keep the source stable, then change the prompt in a predictable order so the next run is easier to evaluate.
Keep stable
Hold the task contract and output shape stable so generated implementations remain comparable.
Tune next
Update libraries, interfaces, and environment assumptions to match the stack you actually run.
Verify after
Test failure handling, edge cases, and any code paths that depend on hidden context or secrets.