---
license: mit
tags:
- lsec
- stab2
- splicing
- valerie
- visualization
- biomarker
---

# lsec-biomarkers-splicing-viz-stab2-plot-v1

VALERIE v2.1.2 PlotPSI output for the STAB2 event (1929 split LSEC cells, cell.types=Healthy,F0,F2-3,F4, method=kw). Per-group split cells with >=2 region reads (coverage proxy): Healthy=779,F0=426,F2-3=478,F4=166.

## Dataset Info

- **Rows**: 2
- **Columns**: 6

## Columns

| Column | Type | Description |
|--------|------|-------------|
| image | Image(mode=None, decode=True) | PNG plot from PlotPSI: per-cell coverage-ratio PSI heatmap, mean PSI +/- bootstrap CI per group, and -log10 p-value track (kw per coordinate) |
| figure_panels | Value('string') | which panels the single PNG contains |
| cell_types | Value('string') | cell types compared |
| n_cells | Value('int64') | total split cells in the plot |
| method | Value('string') | statistical method / multiple-testing / coverage floor / bootstrap resamples |
| event | Value('string') | alternative splicing event visualized + coordinate/significance provenance |


## Generation Parameters

```json
{
  "script_name": "upload_biomarkers_artifacts.py",
  "model": "VALERIE-2.1.2 (wenweixiong/VALERIE)",
  "experiment_name": "lsec-biomarkers-splicing-viz",
  "cluster": "turso",
  "artifact_status": "final",
  "job_id": "turso:75307294",
  "canary": false,
  "description": "VALERIE v2.1.2 PlotPSI output for the STAB2 event (1929 split LSEC cells, cell.types=Healthy,F0,F2-3,F4, method=kw). Per-group split cells with >=2 region reads (coverage proxy): Healthy=779,F0=426,F2-3=478,F4=166.",
  "hyperparameters": {},
  "input_datasets": []
}
```

## Usage

```python
from datasets import load_dataset

dataset = load_dataset("depinwang/lsec-biomarkers-splicing-viz-stab2-plot-v1", split="train")
print(f"Loaded {len(dataset)} rows")
```

---

*Uploaded via [RACA](https://github.com/Zayne-sprague/Dr-Claude-Code) hf_utility.*