Quick Start with PNA Analysis

Step by step tutorials R

1. Data Handling

   1. Loading data
   2. Aggregating data
   3. Save data

2. Quality Control

   1. Component filtering
   2. Removing outliers

3. Abundance Normalization

   1. The dsb normalization
   2. Normalize MPX

4. Data Integration

   1. Harmonizing data

5. Cell Annotation

   1. Clustering and dimensionality reduction
   2. Annotation by differential protein abundance
   3. Annotation by marker gating

6. Differential Abundance

7. Spatial Analyses

   1. Differential clustering analysis
   2. Differential colocalization analysis

8. Cell Visualization