TCGA Lower Grade Glioma Validated Multi-Omic Data

02_Validated_Data contains structurally validated files from the TCGA Lower Grade Glioma Python pipeline. The dataset, 228.6 MB in size and authored by Aaliah Aly, was last updated on May 7, 2026. It includes clinical, expression, mutation, and copy number alteration data prepared for downstream harmonization.

Use Cases

• Perform sample-level harmonization based on validated Sample_ID fields
• Execute gene-level harmonization based on standardized Hugo_Symbol identifiers
• Build integrated cancer databases using structurally consistent clinical and molecular datasets
• Validate data integrity checks for other genomics pipelines based on the described validation process

Strengths

• Dataset size is 228.6 MB, indicating substantial content
• Validation process explicitly verified critical identifiers like Sample_ID and Hugo_Symbol
• Input files include multiple data types (clinical, expression, mutation, CNA) suggesting multi-omic coverage
• License is CC-BY-4.0, permitting open reuse

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

The Cancer Genome Atlas (TCGA) Lower Grade Glioma project

Collection Method

Generated from cleaned data files via a Python pipeline validation stage (validator.py)

Freshness

Last updated 2026-05-07 02:16:17; freshness should be verified