lsec-fcn2-splicing-viz-percell-counts-v1

Per-cell read-level junction counts for the FCN2 SE event, 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. Complete 17-sample set from the scale-up re-split (3 canary + 14 added samples), the same rows the full 4-group bampheno consumed.

Dataset Info

• Rows: 989
• Columns: 8

Columns

Column	Type	Description
cb	Value('large_string')	cell barcode (10x, '-1' suffix stripped)
srr	Value('large_string')	source sample (SRA run id)
group	Value('large_string')	disease group: Healthy / F0 / F2-3 / F4
E	Value('int64')	reads spanning the exclusion junction chr9:134880922-134883301
inclA	Value('int64')	reads spanning inclusion junction A chr9:134880922-134882525
inclB	Value('int64')	reads spanning inclusion junction B chr9:134882640-134883301
I	Value('int64')	max(inclA, inclB) — JAseC CE rule
PSI	Value('float64')	I/(I+E), 0 if no junction reads

Generation Parameters

{
  "script_name": "upload_valerie_artifacts.py",
  "model": "VALERIE-2.1.2 (wenweixiong/VALERIE, PlotPSI.SE.Pos)",
  "experiment_name": "lsec-fcn2-splicing-viz",
  "cluster": "turso",
  "artifact_status": "final",
  "job_id": "turso:75306590",
  "canary": false,
  "description": "Per-cell read-level junction counts for the FCN2 SE event, 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. Complete 17-sample set from the scale-up re-split (3 canary + 14 added samples), the same rows the full 4-group bampheno consumed.",
  "hyperparameters": {},
  "input_datasets": []
}

Usage

from datasets import load_dataset

dataset = load_dataset("depinwang/lsec-fcn2-splicing-viz-percell-counts-v1", split="train")
print(f"Loaded {len(dataset)} rows")

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Uploaded via RACA hf_utility.