ACTION

ACTION infers functional cell identities and reconstructs regulatory networks from single-cell transcriptomic data to classify cellular roles and identify biomarkers.

Key Features:

• Functional Identity Inference: ACTION analyzes single-cell transcriptomic data to determine the dominant biological functions of individual cells.
• Sub-type Identification: Identifies subtypes within cell populations, including Melanoma subtypes with distinct survival rates and therapeutic responses.
• Regulatory Network Reconstruction: Reconstructs regulatory networks governing cellular identity and maps key genes and pathways.
• Biomarker Discovery: Associates biomarkers with specific cell subtypes or disease states by linking them to their regulatory networks.

Scientific Applications:

• Lineage Differentiation Studies: Characterizes functional identities of cells across developmental stages to study lineage differentiation.
• Cancer Research and Sub-typing: Sub-types cancer cells based on transcriptional profiles to analyze tumor heterogeneity and predict therapeutic responses.
• Personalized Medicine: Links molecular signatures and regulatory networks to pathological states to support development of individualized therapies.

Methodology:

Processes single-cell transcriptomic data with computational algorithms that classify cells by transcriptional activity and integrates those classifications to construct regulatory-network maps highlighting key genes and pathways involved in cell identity.