Sample Drawer¶
Multi-Sample Session Specific
This feature is only available in multi-sample sessions.
The Sample Drawer is the side drawer dedicated to managing sample label groupings, configuring Group 1 vs. Group 2 statistical contrast pairs, and exploring comparative differential expression metrics across multi-sample cohorts.
Interface¶
The Sample Drawer is organized into three primary analysis tabs:
1. Sample Label Tab¶
The Sample Label Tab allows you to assign custom color tags and metadata groupings to samples:
Labeling Tools
- Custom Sample Labels: Create custom label names (e.g.
Control,Treated,WT,KO) and choose color palettes. Assign slides manually by clicking sample cards. - Automated Metadata Grouping ("Assign by Attribute"): Auto-generate labels and colors based on dataset metadata fields:
organism: Group slides by species (e.g.mouse,human).tissue: Group slides by anatomical origin (e.g.brain,liver).disease: Group slides by disease status (e.g.normal,Alzheimer).platform: Group slides by technology platform (e.g.Seq-Scope,Visium HD).
2. Sample Compare Tab¶
The Sample Compare Tab configures statistical contrast pairs:
Contrast Setup
- Group 1 vs. Group 2 Contrast: Assign labeled sample cohorts to Group 1 (Reference / Control) and Group 2 (Target / Treatment).
- Statistical Method Selection:
- Chi-Squared Test (
chisq): Fast 2x2 contingency testing for transcript count and spatial proportion shifts. - DESeq2-inspired Model (
deseq2): Real-time, in-browser Negative Binomial modeling with Median-of-Ratios size factor normalization for replicate-aware differential testing (see DESeq2-inspired Model).
- Chi-Squared Test (
- Multiple Testing Corrections: Toggle Benjamini-Hochberg (BH FDR) or Šidák (FWER) adjustments.
- Analysis Scopes: Choose between Gene Expression Comparison, Factor Weight Comparison, or Conditional Differential Expression (gene expression conditioned within a specific spatial factor domain).
3. Sample Stats Tab¶
The Sample Stats Tab presents interactive statistical analysis results:
Statistical Results
- Interactive Volcano Plot: Plots fold-change (log2 FC) against statistical significance (-log10 FDR) with interactive tooltips and thresholds.
- Statistical Data Tables: Browse complete results tables with fold-change, raw \(p\)-values, FDR, and FWER.
- Data Export: Export statistical results tables in CSV, TSV, or JSON formats for downstream R / Python / Scanpy workflows.
Related Pages
Concepts
Manual Pages