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Pluto Knowledge Base
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Analyses
  • Getting Started
    • Anatomy of your Lab Space
    • Your Account
    • Organization Settings
    • Manage Access
  • Experiments
    • Experiment types in Pluto
    • Data inputs and outputs
    • Single cell
    • Experiment actions and resources
  • Analyses
    • Summary
    • Pathway
    • Dimensionality reduction
    • Clinical outcomes
    • Comparative
    • Content
    • Genome
    • Multi-omics
  • Plots
  • Data Management
  • Literature
  • Integrations
  • Sharing and Security
  • Explore
  • Pipelines
  • Billing
  • Reference: Analysis Terms & Methods
    • Software Packages
    • Sequencing
    • Statistics
  • Solutions
      Back to home
      1. Pluto Knowledge Base
      2. Analyses
      • Getting Started
        • Anatomy of your Lab Space
        • Your Account
        • Organization Settings
        • Manage Access
      • Experiments
        • Experiment types in Pluto
        • Data inputs and outputs
        • Single cell
        • Experiment actions and resources
      • Analyses
        • Summary
        • Pathway
        • Dimensionality reduction
        • Clinical outcomes
        • Comparative
        • Content
        • Genome
        • Multi-omics
      • Plots
      • Data Management
      • Literature
      • Integrations
      • Sharing and Security
      • Explore
      • Pipelines
      • Billing
      • Reference: Analysis Terms & Methods
        • Software Packages
        • Sequencing
        • Statistics
      • Solutions

      Analyses

      The "Analysis" model in Pluto is a configurable recipe for running a bioinformatics pipeline
      • Adding comparisons for Gene Set Enrichment Analysis
      • Choosing between MACS2 and SEACR for peak calling with epigenomics datasets
      • Change log: Analyses
      • Including covariates in differential analyses
      • Protein-protein interaction analysis
      • Marker expression analysis for single cell RNA-seq data

      Summary

      • Summary Analysis
      • Summary analysis (CPM-normalized)
      • Clustering (differential features)
      • Longitudinal analysis

      Pathway

      • Transcription factor enrichment analysis (TFEA)
      • Gene set enrichment analysis (GSEA)
      • Over-representation Analysis

      Dimensionality reduction

      • Uniform Manifold Approximation and Projection (UMAP)
      • t-distributed Stochastic Neighbor Embedding (t-SNE)
      • Principal components analysis (PCA)

      Clinical outcomes

      • Survival analysis

      Comparative

      • Differential expression analysis
      • Differential expression analysis for single cell RNA-seq data
      • Sample Correlation
      • Differential Binding Analysis
      • Overlap genes analysis
      • Why are there so many genes at the top of my volcano plot?
      See more

      Content

      • Text
      • Images
      • Spreadsheet
      • External Analysis

      Genome

      • Peak analysis
      • Coverage Analysis
      • Functional Annotation Analysis

      Multi-omics

      • Embedding an analysis from another experiment
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