TCGA Lower Grade Glioma: Harmonized Multi-Omics Data

Aaliah Aly published harmonized multi-omics data for TCGA Lower Grade Glioma on May 7, 2026. The dataset contains final aligned clinical, gene expression, copy number alteration, and mutation files. It retains only samples shared across all data types and genes common across molecular datasets.

Use Cases

• Construct SQL or graph databases based on the fully matched sample and gene identifiers
• Perform integrated multi-omics analysis based on aligned clinical, expression, CNA, and mutation records
• Train machine learning models for glioma subtype classification based on harmonized molecular features

Strengths

• Data is harmonized across four data types (clinical, expression, CNA, mutation) at both sample and gene level
• Files are 98.8 MB in size, indicating a substantial but manageable dataset
• License is CC-BY-4.0, permitting broad reuse for research and analysis

Limitations

• 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

Generated by a Python pipeline for data harmonization, using the finalize.py script

Freshness

Last updated 2026-05-07 02:52:40