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depinwang/lsec-lonp2-splicing-viz-percell-counts-v1

lsec-lonp2-splicing-viz-percell-counts-v1 Per-cell read-level junction counts for the LONP2 SE event, HC vs F2-3 (10 samples), from lsec_bams_dedup (UMI-dedup) split by CB in cell_barcode.tsv.gz. E/I = read counts of the exclusion / inclusion junctions; I = max(inclA, inclB); PSI = I/(I+E). Read-level, NOT UMI-collapsed. Known-null locus — expect PSI=1.00 for nearly all cells in both groups. Dataset Info Rows: 38 Columns: 8 Columns Column… See the full description on the dataset page: https://huggingface.co/datasets/depinwang/lsec-lonp2-splicing-viz-percell-counts-v1.

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Dataset Card

lsec-lonp2-splicing-viz-percell-counts-v1

Per-cell read-level junction counts for the LONP2 SE event, HC vs F2-3 (10 samples), from lsecbamsdedup (UMI-dedup) split by CB in cell_barcode.tsv.gz. E/I = read counts of the exclusion / inclusion junctions; I = max(inclA, inclB); PSI = I/(I+E). Read-level, NOT UMI-collapsed. Known-null locus — expect PSI=1.00 for nearly all cells in both groups.

Dataset Info

  • —Rows: 38
  • —Columns: 8

Columns

ColumnTypeDescription
cbValue('large_string')cell barcode (10x, '-1' suffix stripped)
srrValue('large_string')source sample (SRA run id)
groupValue('large_string')disease group: Healthy / F2-3
EValue('int64')reads spanning the exclusion junction chr16:48252366-48258617
inclAValue('int64')reads spanning inclusion junction A chr16:48252366-48256609
inclBValue('int64')reads spanning inclusion junction B chr16:48256742-48258617
IValue('int64')max(inclA, inclB) — JAseC CE rule
PSIValue('float64')I/(I+E), 0 if no junction reads

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": "Per-cell read-level junction counts for the LONP2 SE event, HC vs F2-3 (10 samples), from lsec_bams_dedup (UMI-dedup) split by CB in cell_barcode.tsv.gz. E/I = read counts of the exclusion / inclusion junctions; I = max(inclA, inclB); PSI = I/(I+E). Read-level, NOT UMI-collapsed. Known-null locus \u2014 expect PSI=1.00 for nearly all cells in both groups.",
  "hyperparameters": {},
  "input_datasets": []
}

Usage

python
from datasets import load_dataset

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

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