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Principal Component Analysis Dimensionality Reduction

Agent skill
1 skill

Use when your input is a normalized, centered gene expression matrix with many genes (e.g., 12,000+) and you need to validate whether reducing to a smaller number of principal components (e.g., 10) preserves pathway enrichment statistics (pathway scores and p-values from geseca or fgsea).

Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI

Supported by the Atlas install prompt. Skill-specific requirements vary.

Skill stats

Skills1CategoryScience & researchStars0

About this skill

Use when your input is a normalized, centered gene expression matrix with many genes (e.g., 12,000+) and you need to validate whether reducing to a smaller number of principal components (e.g., 10) preserves pathway enrichment statistics (pathway scores and p-values from geseca or fgsea).

Quick start

  1. Copy the install prompt. Use the green button above this README.
  2. Send it to your agent. Paste it into your coding agent’s chat and send.
  3. Review the setup. Your agent checks the skill’s instructions, requirements, and installation scope.
Review, license & listing details
Review the source before using this skill

This is an imported listing. We haven’t certified its safety, license, or compatibility. Skills may include executable scripts.

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0 potential findings · Scanned 11/4/2026 · Scanner 0.2.1

Content SHA-256: 68e32e65a9efbb7ded3b6b3d7fdc7a9d9d94b8b718f07d2b2424ccb1b897f9ac

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About this listing

Category
Science & research
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.