Panomics Documentation
  • Overview
  • Projects
    • Project Structure
    • Project Visibility
    • Project Access
  • Samples
    • Sample Lifecycle
    • Sample Ingestion
    • Sample Metadata
  • Analyses
    • Create an Analysis
    • Delete an Analysis
    • Change Analysis Status
    • Publish an Analysis
    • View Analysis Audit Trail
    • Analysis Workbench
      • Quality Control
      • Gene Expression
      • Compute Statistics
      • Sample/Cell Explorer
        • Normalization
        • UMAP
      • Cell Composition
      • Marker Genes
      • Differential Gene Expression
      • Differential Pathway Activity
      • WGCNA
      • Gene Set Enrichment
    • Data Slices
  • OmicsBrowser
  • Gene Signature Similarity
  • Compute Runtimes
    • Codeless Compute
    • Code-based Compute
  • API Keys
  • Administration
    • Roles
    • Users
    • Ontologies
    • Metadata Fields
    • Collections
    • Gene Set Collections
    • Organization Settings
  • Release Notes
  • Technical Support
  • Legal
Powered by GitBook
On this page
  • Command Results
  • Bar plot of cell type abundance
  • Box plot of cell type abundance
  • Effect bar plot and data
  • Video demonstration
  1. Analyses
  2. Analysis Workbench

Cell Composition

This analysis provides insights into the cellular makeup of tissues or samples, helping to understand how cell populations vary across conditions, treatments, or disease states. A Standard Compute runtime is required.

To run cell compositional analysis in Panomics, select the observation that refers to the cell type and the observation that represents the condition of interest (e.g.: tissue, disease, treatment).

Command Results

Bar plot of cell type abundance

By condition
By sample

Box plot of cell type abundance

Effect bar plot and data

Video demonstration

PreviousUMAPNextMarker Genes

Last updated 8 months ago