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bio-machine-learning-biomarker-discovery

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Selects informative features for biomarker discovery using Boruta all-relevant selection, mRMR minimum redundancy, and LASSO regularization. Use when identifying biomarkers from high-dimensional omics data.

When to use

• identifying biomarkers from high-dimensional omics data
• Boruta all-relevant selection
• mRMR minimum redundancy
• LASSO regularization
• Univariate filtering
• Stability selection
• Combined pipeline for feature selection

Skill page

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