IOBR

IOBR facilitates multi-omics immuno-oncology biological research by deciphering the tumor microenvironment and identifying clinical translation signatures.

Key Features:

• Data Preprocessing: Provides standardized data preprocessing for multi-omics TME analysis.
• TME Estimation: Estimates tumor microenvironment composition from transcriptome data.
• TME Infiltration Pattern Identification: Identifies patterns of immune cell infiltration in the tumor microenvironment.
• Cellular Interaction Analysis: Analyzes interactions between cell types within the tumor microenvironment.
• Genome and TME Interaction: Integrates genomic data with tumor microenvironment analysis.
• Feature Visualization and Modeling: Generates visualizations and models for TME features.
• scRNA-seq Signature Construction: Constructs gene signatures and reference matrices from single-cell RNA sequencing data for TME deconvolution.

Scientific Applications:

• Multi-omics TME Integration: Advances integration of multi-omics data in tumor microenvironment research.
• Immunotherapy Development: Supports development of precise immunotherapies through large transcriptome dataset analysis.
• Clinical Validation: Enables clinical validation of scRNA-seq and spatial transcriptome findings in large cohorts.
• Tumor-Immune Interaction Analysis: Provides comprehensive insights into tumor-immune interactions.

Methodology:

IOBR 2.0 restructures and standardizes the analytical workflow into six modules: data preprocessing, TME estimation, TME infiltration pattern identification, cellular interaction analysis, genome and TME interaction, and feature visualization and modeling.