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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
auc_observed: double
auc_null_mean: double
auc_null_sd: double
p_value_right_tail: double
model: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 881
to
{'path': Value('string'), 'size_bytes': Value('int64'), 'sha256': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1914, in _prepare_split_single
                  num_examples, num_bytes = writer.finalize()
                                            ^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 781, in finalize
                  self.write_rows_on_file()
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 663, in write_rows_on_file
                  self._write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2281, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2227, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              auc_observed: double
              auc_null_mean: double
              auc_null_sd: double
              p_value_right_tail: double
              model: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 881
              to
              {'path': Value('string'), 'size_bytes': Value('int64'), 'sha256': Value('string')}
              because column names don't match
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1347, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 884, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1739, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1925, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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path
string
size_bytes
int64
sha256
string
data\raw\external_validation\GSE160705\GSE160705_Raw_data_read_counts_and_normalized_read_counts.xlsx
3,870,722
e89fe7291e73954334211273013aaf99affeba34bf055ffbaac7d58a445de213
data\raw\external_validation\car_benchmark\SRR31001810\SRR31001810_1.fastq.gz
1,594,117,031
3c9417c1f2ef8e64066e2587d4614d0840865f23a2c61b9e8bc5a8da54b67329
data\raw\external_validation\car_benchmark\SRR31001810\SRR31001810_2.fastq.gz
1,747,874,203
6b359d9d8ee1e0bd031e24577c9e3c01cef27f5a72eabdd098f858745a9d7dc8

TCGA-OV Multiomics Network Derived Results

This dataset contains derived, publication-ready outputs from a reproducible TCGA-OV multi-omics network analysis pipeline.

Current status

  • Primary manuscript target: Journal of Biomedical Informatics
  • Preferred bundle: manuscript/journal_of_biomedical_informatics/
  • Current JBI main manuscript status:
    • required statement-of-significance table included
    • main-paper combined tables/figures reduced to a compliant <=8
    • sequential in-text callouts and corrected reference-order audit completed

Release notes

  • Refreshed JBI submission bundle with compliant main manuscript, declarations, title page, cover letter, checklist, supplement, and graphical abstract
  • Clarified CAR motif benchmark interpretation so heuristic all-zero motif rows are not misread as construct absence
  • Preserved prior IJCO and BJC bundles for provenance while marking JBI as the active preferred package
  • Kept the release derived-only: no raw GDC redistribution and no engineered CAR construct FASTA

Preferred manuscript package

  • manuscript/journal_of_biomedical_informatics/: primary current submission-grade package with main manuscript, cover letter, declarations, supplementary appendix, graphical abstract, and submission metadata
  • manuscript/ijco/ and manuscript/british_journal_of_cancer/: prior journal-tailored packages retained for provenance

Included

  • results/models/: MOFA-like factors, DIABLO-like scores
  • results/tables/: matching summary, feature counts, benchmark metrics with CIs, perturbation deltas, external validation tables, and CAR benchmark audits
  • results/networks/: multilayer edges and network centrality/stability
  • results/figures/: manuscript/report figures
  • results/reports/: external validation, CAR benchmark, and workflow audit reports
  • references/car_t/: metadata-only scaffold for user-supplied approved CAR reference panels
  • metadata/manifests/: GDC query/manifests templates
  • manuscript/journal_of_biomedical_informatics/: JBI-targeted manuscript and submission bundle
  • public_release/kaggle_kernel/tcga_ov_car_panel_scaffold.ipynb: notebook demonstrating the CAR scaffold workflow
  • public_release/kaggle_kernel/tcga_ov_host_alignment_car_benchmark.ipynb: notebook demonstrating the host-alignment-only CAR benchmark workflow

Not included

  • Raw GDC downloads are not redistributed.
  • No engineered CAR construct FASTA panel is redistributed.

Reproducibility

Use the companion repository workflow and scripts to regenerate these artifacts from public TCGA-OV sources.

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