Individual skill

evo-protein-expression-analysis

Use when populating Excel workbooks for quantitative proteomics tasks - computing expression lookups, group statistics, and log2 fold-change values using Python and writing numeric results via openpyxl while preserving cell formatting. Handles two-sheet workbooks (Task + Data) with 2D protein×sample expression matrices.

tasks-evolved/protein-expression-analysis/environment/skills/evo-protein-expression-analysis/SKILL.md

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Last checked: Nov 6, 2026

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Repository stars (not skill ratings): 97
Repository last updated: Sep 10, 2026
License: Apache-2.0

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agent-skills Repository topic
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self-evolving-agents Repository topic
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# evo-protein-expression-analysis

Utilities for populating Excel workbooks with proteomics expression values,
group statistics, and fold-change calculations while preserving all cell formatting.

## CRITICAL: Write computed numeric values, NOT formulas

openpyxl does NOT have a calculation engine. If you write Excel formulas (strings
starting with `=`), they will only be evaluated when the file is opened in Excel.
Tools that read the file with `data_only=True` will see `None` for all formula cells.

**You MUST compute values in Python and write float/int results directly.**

## Key facts about the protein_expression.xlsx task