cellethology/tic
A Unified Framework for Temporal and Causal Inference in Tumor Microenvironments.
This framework helps cancer researchers analyze how cells in a tumor environment change over time and what causes those changes. You input single-cell data, and it outputs ordered cellular trajectories and potential causal relationships between biomarkers and outcomes. This is for scientists studying tumor progression and cellular differentiation.
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Use this if you need to understand the temporal evolution of cellular states and infer causal relationships among factors in tumor microenvironments from single-cell data.
Not ideal if you are analyzing static cell populations or looking for a tool that doesn't focus on temporal and causal inference in cellular systems.
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Jul 15, 2025
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