
# Comprehensive Multi-Chamber Heart Analysis

## Dataset Overview
- **Total Cells**: 50,000
- **Total Genes**: 5,000
- **Chambers**: RA, RV, LA, LV

## Chamber Composition
chamber
RA    14192
LV    13510
LA    13186
RV     9112

## Chamber Proportions
chamber
RA    0.28384
LV    0.27020
LA    0.26372
RV    0.18224

## Key Findings

### 1. Chamber Distribution
- **RA (Right Atrium)**: 14,192 cells (28.4%)
- **LV (Left Ventricle)**: 13,510 cells (27.0%)
- **LA (Left Atrium)**: 13,186 cells (26.4%)
- **RV (Right Ventricle)**: 9,112 cells (18.2%)

### 2. Chamber-Specific Markers

#### RA Chamber Top Markers
NPPA, MIR100HG, MYL7, MYL4, PDE4D

#### RV Chamber Top Markers
NEAT1, MYH7, FHL2, C15orf41, PCDH7

#### LA Chamber Top Markers
NPPA, ELN, MYL7, EBF2, RORA

#### LV Chamber Top Markers
CD36, LINC00486, FHL2, RP11-532N4.2, MYH7

## Clinical Implications

1. **Chamber-Specific Biology**: Each chamber shows unique gene expression patterns
2. **Therapeutic Targets**: Chamber-specific markers may inform targeted therapies
3. **Disease Understanding**: Chamber-specific analysis may reveal disease mechanisms
4. **Personalized Medicine**: Chamber-specific treatments may improve outcomes

## Files Generated
- `comprehensive_chamber_analysis.png`: Multi-panel chamber analysis
- `chamber_marker_heatmap.png`: Marker gene expression heatmap
- `chamber_counts.csv`: Cell counts by chamber
- Individual marker files for each chamber

## Next Steps
1. Validate chamber-specific markers with literature
2. Investigate chamber-specific therapeutic targets
3. Compare with disease-specific chamber alterations
4. Develop chamber-specific treatment strategies
