TCGA Lower Grade Glioma: Cleaned Clinical, Mutation, and Expression Data

Cleaned data files from a TCGA Lower Grade Glioma pipeline include standardized clinical, copy number alteration, gene expression, and mutation data. The dataset, authored by Aaliah Aly and updated in May 2026, is 98.0 MB and formatted as CSV and Excel files. Data has been cleaned and transformed for downstream harmonization and database construction.

Use Cases

• Analyze patient survival outcomes based on cleaned and standardized clinical variables.
• Study gene-level copy number alterations categorized as deep loss, loss, neutral, gain, or amplification.
• Perform gene expression analysis using numeric, filtered, and deduplicated expression records.
• Investigate mutation severity and Variant Allele Frequency from cleaned mutation annotation fields.

Strengths

• Data has undergone cleaning for variable renaming, formatting correction, and duplicate removal.
• Multiple genomic data types (CNA, expression, mutation) are structured into long format for analysis.
• License is CC-BY-4.0, facilitating open reuse.

Limitations

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

Provenance

Source

The Cancer Genome Atlas (TCGA) Lower Grade Glioma project.

Collection Method

Data processed through a Python pipeline for cleaning, standardization, and transformation.

Freshness

Last updated 2026-05-07 02:15:08; freshness should be verified.