Feature Intensity Normalization and Batch Correction

About this skill

Use when after blank masking and sample dropping, when you have a feature table with intensity values that exhibit systematic variation across sample collection batches or instrument runs.

Quick start

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Review, license & listing details

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Content SHA-256: 39c8ceffe7331823b5f514a094e0544e89df2f80212773e38961404c91f38e0f

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Original listing metadata

Original name

feature-intensity-normalization-and-batch-correction

Original description

Use when after blank masking and sample dropping, when you have a feature table with intensity values that exhibit systematic variation across sample collection batches or instrument runs.

About this listing

Category: Product & design
Reported license: Apache-2.0
Listing language (estimated): English
Review status: Not individually reviewed
Agent compatibility: Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.