ClonalTreeClustering is an integral component of a project aimed at clustering B cell lineage trees to advance our understanding of immune system dynamics and their role in health and disease.
B cell lineage trees visually depict the stages of B cell differentiation and maturation, tracing the journey from hematopoietic stem cells to fully functional antibody-producing cells. These trees serve as vital tools for studying the immune response, highlighting changes in B cell populations over time or across clinical conditions.
However, the accurate classification and comparison of these trees require a reliable metric similar to those used for evolutionary trees. ClonalTreeClustering introduces a robust framework for comparing lineage trees, leveraging critical features to analyze and cluster them systematically.
- Systematic Tree Comparison:
Enables a detailed comparison of B cell lineage trees using quantitative metrics. - Dynamic Tracking:
Investigates lineage changes over time, providing insights into immune response dynamics. - Clinical Applications:
Facilitates the comparison of B cell behavior in disease and treatment contexts. - Data and Code:
The repository includes both source code and test data, making it easy to run experiments and validate results.
The goal of ClonalTreeClustering is to address the complex challenge of comparing and clustering multiple B cell lineage trees. By introducing a data-driven approach, this methodology enhances our ability to study:
- The evolution of B cell lineages.
- Immune system responses in various diseases.
- The impact of therapeutic interventions on clonal diversity and expansion.
- Source Code: Comprehensive implementation of the clustering methodology.
- Test Data: Example datasets for validation and experimentation.
Explore the repository to gain deeper insights into the role of B cell lineage trees in immunological research. Let us know if you'd like further guidance on integrating this framework into your studies or projects.