Datasetpublic

depinwang/lsec-lonp2-splicing-viz-valerie-plot-v1

lsec-lonp2-splicing-viz-valerie-plot-v1 VALERIE v2.1.2 PlotPSI output for the LONP2 SE event, HC vs F2-3 (315 split LSEC cells). method=wilcox (2 groups). Per-group split cells with >=2 region reads (coverage proxy): Healthy=87,F2-3=45. KNOWN-NULL LOCUS — see event description. This is a negative-control companion to lsec-fcn2-splicing-viz-valerie-plot-v1, not a positive finding: expect near-uniform PSI=1.00 and a flat/non-significant p-track. Dataset Info Rows:… See the full description on the dataset page: https://huggingface.co/datasets/depinwang/lsec-lonp2-splicing-viz-valerie-plot-v1.

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Dataset Card

lsec-lonp2-splicing-viz-valerie-plot-v1

VALERIE v2.1.2 PlotPSI output for the LONP2 SE event, HC vs F2-3 (315 split LSEC cells). method=wilcox (2 groups). Per-group split cells with >=2 region reads (coverage proxy): Healthy=87,F2-3=45. KNOWN-NULL LOCUS — see event description. This is a negative-control companion to lsec-fcn2-splicing-viz-valerie-plot-v1, not a positive finding: expect near-uniform PSI=1.00 and a flat/non-significant p-track.

Dataset Info

—Rows: 2
—Columns: 6

Columns

Column	Type	Description
image	Image(mode=None, decode=True)	PNG plot from PlotPSI: per-cell PSI heatmap (cells x genomic coordinate), mean PSI +/- bootstrap CI per cell type, and -log10 p-value track (wilcox 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 (tran_id exon-boundary convention) + known-null context

Generation Parameters

json

{
  "script_name": "upload_lonp2_artifacts.py",
  "model": "VALERIE-2.1.2 (wenweixiong/VALERIE, PlotPSI.SE.Pos)",
  "experiment_name": "lsec-lonp2-splicing-viz",
  "cluster": "turso",
  "artifact_status": "final",
  "job_id": "turso:75306771",
  "canary": false,
  "description": "VALERIE v2.1.2 PlotPSI output for the LONP2 SE event, HC vs F2-3 (315 split LSEC cells). method=wilcox (2 groups). Per-group split cells with >=2 region reads (coverage proxy): Healthy=87,F2-3=45. KNOWN-NULL LOCUS \u2014 see event description. This is a negative-control companion to lsec-fcn2-splicing-viz-valerie-plot-v1, not a positive finding: expect near-uniform PSI=1.00 and a flat/non-significant p-track.",
  "hyperparameters": {},
  "input_datasets": []
}

Usage

python

from datasets import load_dataset

dataset = load_dataset("depinwang/lsec-lonp2-splicing-viz-valerie-plot-v1", split="train")
print(f"Loaded {len(dataset)} rows")

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