metadata
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
{
"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
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 hf_utility.