IHGA

IHGA performs integrative analysis of gene mRNA expression across large-scale hepatocellular carcinoma (HCC) datasets to enable discovery of biomarkers and therapeutic targets.

Key Features:

• Extensive Data Repository: Contains over 100 independent HCC patient-derived datasets encompassing more than 10,000 tissue samples and data from over 90 cell models.
• Comprehensive Analytical Capabilities: Performs large-scale analyses of gene mRNA levels including expression comparison, correlation analysis, clinical characteristics analysis, survival analysis, immune interaction analysis, and drug sensitivity analysis.
• Enhanced Clinical Data Integration: Integrates enriched clinical parameters with molecular data to support nuanced analyses of gene–clinical associations.
• AI-Assisted Gene Screening: Applies artificial intelligence, including natural language models, to assist gene screening and identification workflows.

Scientific Applications:

• Biomarker discovery: Identification of novel gene expression biomarkers associated with HCC.
• Therapeutic target identification: Prioritization of potential therapeutic targets based on expression, clinical correlation, and drug sensitivity analyses.
• Clinical outcome exploration: Exploration of gene expression patterns in relation to clinical outcomes such as survival and other clinical characteristics.

Methodology:

Integration of >100 independent HCC patient-derived datasets and >90 cell-model datasets, large-scale analyses of gene mRNA levels (expression, correlation, survival, immune interaction, drug sensitivity), and application of AI technologies including natural language models for gene screening.