TCGA Lower Grade Glioma: Sample-Harmonized Multi-Omics Data

Sample-level harmonized data files from the third stage of the TCGA Lower Grade Glioma Python pipeline. The dataset integrates validated clinical, gene expression, copy number alteration, and mutation data, filtered to a common set of matched samples. It was authored by Aaliah Aly and last updated on 2026-05-07.

Use Cases

• Integrate clinical and molecular data based on the harmonized Sample_ID linking identifier.
• Perform downstream gene-level analysis based on the prepared expression, CNA, and mutation datasets.
• Build multi-omics databases based on the complete matched sample representation across data types.

Strengths

• Data is harmonized across four distinct data types (clinical, expression, CNA, mutation) using a standardized Sample_ID.
• The dataset is 97.6 MB, indicating a substantial volume of integrated data.
• Files are provided in multiple formats (XLSX, CSV) within a ZIP archive.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Collection Method

Generated during the third stage of the TCGA Lower Grade Glioma Python pipeline using a specific script (sample_harmonization.py).

Freshness

Last updated 2026-05-07 02:35:52; freshness should be verified.