Single-cell omics data-driven decoding of tumor clonal evolution through reinforcement learning
BACKGROUND: Tumor evolution is driven by substantial cellular heterogeneity, yet its reconstruction remains challenging with conventional bulk sequencing approaches. Single-cell transcriptomic data provide opportunities to study clonal diversity and evolutionary dynamics, but accurate inference of …
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