TCGA Lower Grade Glioma Gene-Harmonized Multi-Omics Data

94.4 MB of gene-level harmonized molecular data from the TCGA Lower Grade Glioma project. Aaliah Aly processed expression, copy number alteration, and mutation datasets to ensure consistent gene representation using Hugo_Symbol identifiers. The dataset, updated in May 2026, provides filtered files ready for integrated multi-omics analysis.

Use Cases

• Integrated multi-omics analysis based on harmonized expression, CNA, and mutation data
• Gene-level biomarker discovery based on a matched gene set across major omics types
• Downstream identifier standardization and SQL/graph database construction based on the prepared common gene set

Strengths

• Data harmonization ensures a common set of genes across expression, CNA, and mutation datasets
• Gene symbols were cleaned and standardized using Hugo_Symbol as the main identifier
• Files are ready for downstream integration and analysis without altering biological meaning

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• Data scope is limited to TCGA Lower Grade Glioma samples

Provenance

Source

The Cancer Genome Atlas (TCGA) Lower Grade Glioma project

Collection Method

Generated by a Python pipeline (gene_harmonization.py script) from sample-harmonized input files

Freshness

Last updated 2026-05-07 02:43:52