Datasetpublic

depinwang/lsec-biomarkers-splicing-viz-mt1g-plot-v1

lsec-biomarkers-splicing-viz-mt1g-plot-v1 VALERIE v2.1.2 PlotPSI output for the MT1G event (851 split LSEC cells, cell.types=Healthy,F0,F2-3,F4, method=kw). Per-group split cells with >=2 region reads (coverage proxy): Healthy=410,F0=211,F2-3=219,F4=5. 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… See the full description on the dataset page: https://huggingface.co/datasets/depinwang/lsec-biomarkers-splicing-viz-mt1g-plot-v1.

sourceHugging Facemitupdated 21d agoView on Hugging Face

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Dataset Card

lsec-biomarkers-splicing-viz-mt1g-plot-v1

VALERIE v2.1.2 PlotPSI output for the MT1G event (851 split LSEC cells, cell.types=Healthy,F0,F2-3,F4, method=kw). Per-group split cells with >=2 region reads (coverage proxy): Healthy=410,F0=211,F2-3=219,F4=5.

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:75307293",
  "canary": false,
  "description": "VALERIE v2.1.2 PlotPSI output for the MT1G event (851 split LSEC cells, cell.types=Healthy,F0,F2-3,F4, method=kw). Per-group split cells with >=2 region reads (coverage proxy): Healthy=410,F0=211,F2-3=219,F4=5.",
  "hyperparameters": {},
  "input_datasets": []
}

Usage

python

from datasets import load_dataset

dataset = load_dataset("depinwang/lsec-biomarkers-splicing-viz-mt1g-plot-v1", split="train")
print(f"Loaded {len(dataset)} rows")

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