Immune Imbalance Transcriptomics Algorithm ID: 2024-016
An innovative algorithm designed to explore immune balance in cancer and autoimmune diseases through transcriptomic data analysis.
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Technology Overview
This algorithm leverages bulk and single-cell RNA-sequencing data to compare healthy controls against cancer and autoimmune diseases affecting the same tissue type. It integrates open-source R packages for enhanced reproducibility and utility in diagnostics and treatment innovations, offering a novel approach to understanding immune functions and gene dysregulation in diseases.
Key Advantages
- Utilizes both bulk and single-cell RNA-sequencing data for comprehensive analysis
- Integrates with existing modular workflows like ARMOR for enhanced reproducibility
- Provides a nuanced understanding of immune functions within specific tissue types
- Employs standardized normalization techniques for comparability across datasets
Problems Addressed
- Identifies genes showing important changes in immune balance in diseases
- Facilitates the comparison of cancer and autoimmune diseases within a unified framework
- Helps in discerning gene dysregulation patterns specific to diseases
Market Applications
- Aids pharmaceutical companies in identifying novel drug targets
- Supports the development of therapeutic strategies for cancer and autoimmune diseases
- Enhances diagnostic capabilities through advanced transcriptomic analysis
Additional Information
Technology ID: 2024-016
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Date Published: 28 March, 2025
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