Individual skill
gene-protein-expression-matrix-normalization
Use when normalizing bulk gene or protein expression matrices with log2 transform, z-score standardization, or min-max scaling before downstream visualization or exploratory analysis. NOT for count-model normalization such as TPM/DESeq2 size factors, batch correction, or single-cell preprocessing.
awesome-med-research-skills/Data Analysis/gene-protein-expression-matrix-normalization/SKILL.md
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- bioinformatics Repository topic
- computational-biology Repository topic
- data-analysis Repository topic
- ai Repository topic
- biology Repository topic
- cancer-genomics Repository topic
- data-visualization Repository topic
- differential-expression Repository topic
- genomics Repository topic
- medical Repository topic
- data Derived category
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DESCRIPTIONasset · 523 bytesSKILL.mdcore · 6,118 bytesSKILL.mdcore · 6,118 bytesSKILL.mdcore · 6,118 bytesSKILL.mdcore · 6,118 byteseval_report_gene-protein-expression-matrix-normalization_result.jsonasset · 15,959 bytesreferences/algorithm.mddoc · 1,503 bytesreferences/cli-guide.mddoc · 2,337 bytesreferences/troubleshooting.mddoc · 1,535 bytesscripts/cli_options.Rasset · 2,152 bytesscripts/functions.Rasset · 2,954 bytesscripts/io.Rasset · 2,854 bytesscripts/main.Rruns · 945 bytesscripts/recording.Rasset · 1,386 bytesscripts/run_analysis.Rasset · 4,291 bytesscripts/utils.Rasset · 2,620 bytestests/data/expression_matrix.csvasset · 1,044,498 bytestests/run_tests.Rruns · 5,373 bytes
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> **Source**: [https://github.com/aipoch/medical-research-skills](https://github.com/aipoch/medical-research-skills)
# Gene Protein Expression Matrix Normalization
## When to Use
Use this skill when the user wants to normalize a numeric expression matrix before plotting, clustering, or exploratory comparison.
Typical requests:
- "Normalize this gene expression matrix with log2"
- "Do z-score scaling across samples"
- "Map protein abundance values into 0 to 1"
## When Not to Use